Paper Citation Record · LEDGER

A Survey of Continual Reinforcement Learning

As of 11 August 2026, this Paper Citation Record lists 100 of 209 outbound references and 11 inbound Pith citation observations for arXiv:2506.21872.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.21872 v2

Coverage vector

measured 100 of 209 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T08:27:03.376909Z

measured 111 of 111 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:00:57.517509Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-04T19:30:07.939680Z

Reference resolution

100 of 209 outbound references displayed

verified exact10
verified fuzzy88
unresolved2
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 967ff375-bbf9-4eec-a065-dca450e2480d · outbound

This paper cites an unresolved cited work.

A Survey of Continual Reinforcement Learning Unresolved cited work

Reference 1

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Observation b3ad794c-f3ad-4b68-84b7-2a597d68c1dd · outbound

This paper cites Human-level control through deep reinforcement learning.

A Survey of Continual Reinforcement Learning Human-level control through deep reinforcement learning

Reference 2

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Observation 46da753e-c281-4e5a-91ce-e0800ffc2317 · outbound

This paper cites A general reinforcement learning algorithm that masters chess, shogi, and go through self-play.

A Survey of Continual Reinforcement Learning A general reinforcement learning algorithm that masters chess, shogi, and go through self-play

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.443848Z

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Observation 1a703971-a976-4bd5-9a91-3183a9e62fb2 · outbound

This paper cites Improved prediction of protein-protein interactions using AlphaFold2.

A Survey of Continual Reinforcement Learning Improved prediction of protein-protein interactions using AlphaFold2

Reference 4

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Observation 0a3884d8-166e-41e2-81ab-7e0e354fc3b2 · outbound

This paper cites Learning high-accuracy error decoding for quantum processors.

A Survey of Continual Reinforcement Learning Learning high-accuracy error decoding for quantum processors

Reference 5

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Observation c979f30f-04a4-446b-a926-4f0b575cd962 · outbound

This paper cites Training language models to follow instructions with human feedback.

A Survey of Continual Reinforcement Learning Training language models to follow instructions with human feedback

Reference 6

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Observation 859afd83-0bbf-4300-869f-cfc4b186ff60 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

A Survey of Continual Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

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Observation b5ca8f71-1075-4796-bac6-09c8befb8c90 · outbound

This paper cites Deepther- mal: Combustion optimization for thermal power generating units using offline reinforcement learning.

A Survey of Continual Reinforcement Learning Deepther- mal: Combustion optimization for thermal power generating units using offline reinforcement learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.426347Z

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Observation 1cacd800-3716-4f5b-8895-678a8211897d · outbound

This paper cites Magnetic control of tokamak plasmas through deep reinforcement learning.

A Survey of Continual Reinforcement Learning Magnetic control of tokamak plasmas through deep reinforcement learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.237995Z

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Observation a8835f6b-7ae6-4705-aa3c-56f3ebdcd1c6 · outbound

This paper cites Dense reinforcement learning for safety validation of autonomous vehicles.

A Survey of Continual Reinforcement Learning Dense reinforcement learning for safety validation of autonomous vehicles

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.046499Z

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Observation 206c745d-f98f-4a76-8f4c-371382266358 · outbound

This paper cites Grandmaster level in StarCraft II using multi-agent reinforcement learning.

A Survey of Continual Reinforcement Learning Grandmaster level in StarCraft II using multi-agent reinforcement learning

Reference 11

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Observation 280239a3-c4c6-4640-b83f-1ec173301a41 · outbound

This paper cites Towards sample efficient reinforcement learning.

A Survey of Continual Reinforcement Learning Towards sample efficient reinforcement learning

Reference 12

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Observation ab61ff0e-9777-4df5-a632-40f83bbe1815 · outbound

This paper cites Ding and H.

A Survey of Continual Reinforcement Learning Ding and H

Reference 13

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Observation b7545c45-2671-410a-8b5b-ce74d6ea4e5d · outbound

This paper cites Challenges of real-world reinforcement learning: definitions, benchmarks and analysis.

A Survey of Continual Reinforcement Learning Challenges of real-world reinforcement learning: definitions, benchmarks and analysis

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.805347Z

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Observation 6d1a35f1-f732-46d8-916a-ee5841acdec8 · outbound

This paper cites Biological underpinnings for lifelong learning machines.

A Survey of Continual Reinforcement Learning Biological underpinnings for lifelong learning machines

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.041850Z

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Observation 31e9954b-12b6-4795-bedc-2132e5022cbe · outbound

This paper cites Continual lifelong learning with neural networks: A review.

A Survey of Continual Reinforcement Learning Continual lifelong learning with neural networks: A review

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.017728Z

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Observation 7e16880e-0531-4610-8cf2-350e38c0b5a9 · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks.

A Survey of Continual Reinforcement Learning A continual learning survey: Defying forgetting in classification tasks

Reference 17

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Observation 2b1357f1-c02a-47dc-84c2-408b6c4c1fc8 · outbound

This paper cites A comprehensive survey of continual learning: Theory, method and application.

A Survey of Continual Reinforcement Learning A comprehensive survey of continual learning: Theory, method and application

Reference 18

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Observation 95c9d345-2f1d-4c35-b1d5-cdf07f31624e · outbound

This paper cites Federated continual learning via knowledge fusion: A survey.

A Survey of Continual Reinforcement Learning Federated continual learning via knowledge fusion: A survey

Reference 19

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Observation 40a4d10c-71b1-4a6a-b752-1e7d63822726 · outbound

This paper cites CHILD: A first step towards continual learning.

A Survey of Continual Reinforcement Learning CHILD: A first step towards continual learning

Reference 20

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Observation 2d837f75-7687-492f-b5aa-138e00975d5d · outbound

This paper cites Towards continual reinforcement learning: A review and perspectives.

A Survey of Continual Reinforcement Learning Towards continual reinforcement learning: A review and perspectives

Reference 21

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Observation 08d46c16-7cee-4883-a305-bd0c05b87d66 · outbound

This paper cites Fast TRAC: A parameter-free optimizer for lifelong reinforcement learning.

A Survey of Continual Reinforcement Learning Fast TRAC: A parameter-free optimizer for lifelong reinforcement learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.965198Z

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Observation 9fe53a8b-fa4d-4b2c-acd9-f3c34d3c4d01 · outbound

This paper cites A comprehensive survey of forgetting in deep learning beyond continual learning.

A Survey of Continual Reinforcement Learning A comprehensive survey of forgetting in deep learning beyond continual learning

Reference 23

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Observation 484f22d7-9290-4000-8245-3e71bd78e1a4 · outbound

This paper cites Markov decision processes.

A Survey of Continual Reinforcement Learning Markov decision processes

Reference 24

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A Survey of Continual Reinforcement Learning Unresolved cited work

Reference 25

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Observation 4abe9bc8-35b3-454e-893a-6b468a84c1d5 · outbound

This paper cites Prioritized experience replay.

A Survey of Continual Reinforcement Learning Prioritized experience replay

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.076735Z

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Observation 2b2dc532-3797-4124-8304-bfdb11072062 · outbound

This paper cites Dueling network architectures for deep reinforcement learning.

A Survey of Continual Reinforcement Learning Dueling network architectures for deep reinforcement learning

Reference 27

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Observation 155d3c30-45e2-48f8-b761-92ba9be4a797 · outbound

This paper cites Deep recurrent Q-Learning for partially observable mdps.

A Survey of Continual Reinforcement Learning Deep recurrent Q-Learning for partially observable mdps

Reference 28

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Observation 0a865d94-e831-4b8e-b43f-81305b19c246 · outbound

This paper cites Asynchronous methods for deep reinforcement learning.

A Survey of Continual Reinforcement Learning Asynchronous methods for deep reinforcement learning

Reference 29

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Observation ba3c09b4-617a-44ee-9a2b-b59e5347c484 · outbound

This paper cites Continuous control with deep reinforce- ment learning.

A Survey of Continual Reinforcement Learning Continuous control with deep reinforce- ment learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.819433Z

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Observation f1161da1-f9e5-4cfd-9b11-9bd95126cc35 · outbound

This paper cites Addressing function ap- proximation error in actor-critic methods.

A Survey of Continual Reinforcement Learning Addressing function ap- proximation error in actor-critic methods

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.729214Z

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Observation 85692d8d-42f1-4d4d-8326-5658bb22746f · outbound

This paper cites Trust region policy optimization.

A Survey of Continual Reinforcement Learning Trust region policy optimization

Reference 32

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Observation dc52effd-16ad-4450-93bd-04d7d315908b · outbound

This paper cites Proximal Policy Optimization Algorithms.

A Survey of Continual Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 33

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Observation 6084fd90-87f7-4980-8fff-c7c5bb1ffb6e · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor.

A Survey of Continual Reinforcement Learning Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 34

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Observation 717ba5ac-84e0-40fe-ac83-c6518315f0e7 · outbound

This paper cites A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning.

A Survey of Continual Reinforcement Learning A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.401957Z

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Observation 0c7961cc-3f26-469f-83ad-4ed780f19ef6 · outbound

This paper cites Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges.

A Survey of Continual Reinforcement Learning Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges

Reference 36

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Observation 01461a72-d0a8-40c8-b145-7fbbe9de06a6 · outbound

This paper cites Continual variational autoencoder via continual generative knowledge distillation.

A Survey of Continual Reinforcement Learning Continual variational autoencoder via continual generative knowledge distillation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.116126Z

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Observation 814a68dd-9aa1-46ff-bb13-21661b254b63 · outbound

This paper cites iCaRL: Incremental classifier and representation learning.

A Survey of Continual Reinforcement Learning iCaRL: Incremental classifier and representation learning

Reference 38

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Observation bdff437e-3417-408b-8a67-a659810f3018 · outbound

This paper cites Continual learning with deep generative replay.

A Survey of Continual Reinforcement Learning Continual learning with deep generative replay

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.721486Z

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Observation 0ae8e263-5e4e-4666-aa1c-7ca597e36698 · outbound

This paper cites Class-incremental learning via deep model consolida- tion.

A Survey of Continual Reinforcement Learning Class-incremental learning via deep model consolida- tion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.102519Z

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Observation e437c4b7-df05-4f04-a258-b3706b0868c2 · outbound

This paper cites Differential privacy preservation in robust continual learning.

A Survey of Continual Reinforcement Learning Differential privacy preservation in robust continual learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.843767Z

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Observation 766a0077-67bd-4f60-b2d5-bcbaa054e9e0 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

A Survey of Continual Reinforcement Learning Overcoming catastrophic forgetting in neural networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.206444Z

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Observation c6ea9064-a1e4-41e9-9830-9d266c186e7d · outbound

This paper cites Continual learning via inter-task synaptic mapping.

A Survey of Continual Reinforcement Learning Continual learning via inter-task synaptic mapping

Reference 43

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Observation df6a1fc9-53bb-4fb3-aa0e-55a41832d4d3 · outbound

This paper cites Learning without forgetting.

A Survey of Continual Reinforcement Learning Learning without forgetting

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.681615Z

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Observation eaad7dcf-3b91-4f68-96da-c2d49ee0e448 · outbound

This paper cites Class-incremental learning by knowl- edge distillation with adaptive feature consolidation.

A Survey of Continual Reinforcement Learning Class-incremental learning by knowl- edge distillation with adaptive feature consolidation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.247226Z

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Observation a60c4aad-e340-4cec-bb05-6ecf79b68333 · outbound

This paper cites PackNet: Adding multiple tasks to a single network by iterative pruning.

A Survey of Continual Reinforcement Learning PackNet: Adding multiple tasks to a single network by iterative pruning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.241824Z

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Observation f99e7528-3d36-4728-b8cc-bfebf65a2031 · outbound

This paper cites Piggyback: Adapting a single network to multiple tasks by learning to mask weights.

A Survey of Continual Reinforcement Learning Piggyback: Adapting a single network to multiple tasks by learning to mask weights

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.757431Z

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Observation 626a6b33-eadc-4be7-8691-d3edcd1b0aa8 · outbound

This paper cites Lifelong generative modelling using dynamic expansion graph model.

A Survey of Continual Reinforcement Learning Lifelong generative modelling using dynamic expansion graph model

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.897391Z

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Observation 24575a05-0ab4-4036-a0d5-ef3b258183ef · outbound

This paper cites Few-shot incremental learning with continually evolved classifiers.

A Survey of Continual Reinforcement Learning Few-shot incremental learning with continually evolved classifiers

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.744031Z

Source-reported events for the cited work

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Observation 515b7a97-b40b-46c2-9620-14d3b4c05486 · outbound

This paper cites Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines.

A Survey of Continual Reinforcement Learning Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:27:11.172394Z

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Observation 9e81b28d-15c5-49f6-a6cc-ebe4dbb9798a · outbound

This paper cites Three types of incremental learning.

A Survey of Continual Reinforcement Learning Three types of incremental learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.973937Z

Source-reported events for the cited work

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Observation b707d3f7-1f83-4d44-8d73-22d6add971db · outbound

This paper cites A definition of continual reinforcement learning.

A Survey of Continual Reinforcement Learning A definition of continual reinforcement learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.413783Z

Source-reported events for the cited work

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Observation 0cff2393-36f5-419e-860b-6b5b10059ce6 · outbound

This paper cites Loss of plasticity in continual deep reinforcement learning.

A Survey of Continual Reinforcement Learning Loss of plasticity in continual deep reinforcement learning

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.055108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 99681c59-4e18-43b7-8853-ff4b38474a13 · outbound

This paper cites A survey of multi-task deep reinforcement learning.

A Survey of Continual Reinforcement Learning A survey of multi-task deep reinforcement learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.193570Z

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Observation e80d4a7c-178e-4c6c-a776-530f5724bd8c · outbound

This paper cites Transfer learning in deep reinforcement learning: A survey.

A Survey of Continual Reinforcement Learning Transfer learning in deep reinforcement learning: A survey

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.068456Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 70ddc7db-ee9e-4555-b5f7-83e858eb2d5f · outbound

This paper cites Continual reinforcement learning with complex synapses.

A Survey of Continual Reinforcement Learning Continual reinforcement learning with complex synapses

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.022265Z

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Observation eb5cad15-b9fe-40ba-ab37-2241bb6b4caa · outbound

This paper cites Loss of plasticity in deep continual learning.

A Survey of Continual Reinforcement Learning Loss of plasticity in deep continual learning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.270042Z

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Observation d1afbb7e-de5f-4f15-9c70-999c49d8b9fc · outbound

This paper cites Plasticity Loss in Deep Reinforcement Learning: A Survey.

A Survey of Continual Reinforcement Learning Plasticity Loss in Deep Reinforcement Learning: A Survey

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:27:11.132613Z

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Observation 1a47ce9d-d194-4dfa-ac0a-f630c79b98d5 · outbound

This paper cites A study of plasticity loss in on-policy deep reinforcement learning.

A Survey of Continual Reinforcement Learning A study of plasticity loss in on-policy deep reinforcement learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.084992Z

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Observation 5cf69aa2-3cac-4005-894c-24cdd69c6010 · outbound

This paper cites Contin- ual world: A robotic benchmark for continual reinforcementlearning.

A Survey of Continual Reinforcement Learning Contin- ual world: A robotic benchmark for continual reinforcementlearning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.341334Z

Source-reported events for the cited work

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Observation 2e254c6f-13fc-4e2b-81a1-ee45be498e4f · outbound

This paper cites Disentangling transfer in continual reinforcement learning.

A Survey of Continual Reinforcement Learning Disentangling transfer in continual reinforcement learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.381893Z

Source-reported events for the cited work

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Observation 17f51a78-7825-4d18-8b38-1d90f8d5ebe1 · outbound

This paper cites Self-composing policies for scalable continual reinforcement learning.

A Survey of Continual Reinforcement Learning Self-composing policies for scalable continual reinforcement learning

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.377738Z

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Observation 2478aee0-0810-43ff-ab83-f1e5abae3856 · outbound

This paper cites Continuous coordination as a realistic scenario for lifelong learning.

A Survey of Continual Reinforcement Learning Continuous coordination as a realistic scenario for lifelong learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.810086Z

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Observation 39074b72-6c35-492d-97a5-6bfd955aa841 · outbound

This paper cites L2Explorer: A Lifelong Reinforcement Learning Assessment Environment.

A Survey of Continual Reinforcement Learning L2Explorer: A Lifelong Reinforcement Learning Assessment Environment

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:27:11.165479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45dafd26-e4db-4958-8372-2652816ed364 · outbound

This paper cites Building a subspace of policies for scalable continual learning.

A Survey of Continual Reinforcement Learning Building a subspace of policies for scalable continual learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.345029Z

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Observation 18d40ed3-d7ae-40c4-8a07-53d26acecdb8 · outbound

This paper cites Model-based lifelong reinforcement learning with bayesian exploration.

A Survey of Continual Reinforcement Learning Model-based lifelong reinforcement learning with bayesian exploration

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.348927Z

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Observation a4c19a8f-7830-4ab5-9aaf-986e40db702c · outbound

This paper cites Continual reinforcement learning in 3D non-stationary environments.

A Survey of Continual Reinforcement Learning Continual reinforcement learning in 3D non-stationary environments

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.353185Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 97c30c7c-a467-4e55-8725-f7eeaca1f00e · outbound

This paper cites CORA: Benchmarks, baselines, and metrics as a platform for continual rein- forcement learning agents.

A Survey of Continual Reinforcement Learning CORA: Benchmarks, baselines, and metrics as a platform for continual rein- forcement learning agents

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.389860Z

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Observation de4c8c94-5768-449a-8295-2d110be8c0ea · outbound

This paper cites COOM: A game benchmark for continual reinforcement learning.

A Survey of Continual Reinforcement Learning COOM: A game benchmark for continual reinforcement learning

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.315650Z

Source-reported events for the cited work

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Observation a17bc714-3f58-46bc-bca6-50698560b051 · outbound

This paper cites Policy and value transfer in lifelong reinforcement learning.

A Survey of Continual Reinforcement Learning Policy and value transfer in lifelong reinforcement learning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.331084Z

Source-reported events for the cited work

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Observation 020c2df7-8e4d-4379-adba-e0239c9af79c · outbound

This paper cites Minigrid & miniworld: Modular & customizable reinforcement learning envi- ronments for goal-oriented tasks.

A Survey of Continual Reinforcement Learning Minigrid & miniworld: Modular & customizable reinforcement learning envi- ronments for goal-oriented tasks

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.328324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dbb71f58-8c2a-4b0e-825c-ebf1b0115f54 · outbound

This paper cites DeepMind Lab.

A Survey of Continual Reinforcement Learning DeepMind Lab

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:27:11.193393Z

Source-reported events for the cited work

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Observation 02f6d114-3c64-4a32-881c-1c44015ba22e · outbound

This paper cites Progress & compress: A scalable framework for continual learning.

A Survey of Continual Reinforcement Learning Progress & compress: A scalable framework for continual learning

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.297774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ddd202c7-ae37-4a30-8447-3b99b380b73b · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

A Survey of Continual Reinforcement Learning Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:27:11.186560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 35081155-68e4-431e-8434-5153db5b9898 · outbound

This paper cites Same state, different task: Continual reinforcement learning without interference.

A Survey of Continual Reinforcement Learning Same state, different task: Continual reinforcement learning without interference

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.311291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b64a08aa-db33-4884-adeb-73882401fdfc · outbound

This paper cites MuJoCo: A physics engine for model-based control.

A Survey of Continual Reinforcement Learning MuJoCo: A physics engine for model-based control

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.333984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 82198ff5-e320-4e48-9dda-8a13420048ec · outbound

This paper cites Policy consolidation for continual reinforcement learning.

A Survey of Continual Reinforcement Learning Policy consolidation for continual reinforcement learning

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.369300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a6ff9d46-9a2a-48c3-8a76-9e83157444c9 · outbound

This paper cites IMPALA: scalable distributed deep-RL with impor- tance weighted actor-learner architectures.

A Survey of Continual Reinforcement Learning IMPALA: scalable distributed deep-RL with impor- tance weighted actor-learner architectures

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.265828Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a428e50b-c3e8-4acb-92b8-66aad0e30a1f · outbound

This paper cites Prediction and control in continual rein- forcement learning.

A Survey of Continual Reinforcement Learning Prediction and control in continual rein- forcement learning

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.279403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 868c6bfb-980a-43e9-b82e-3640d785e62e · outbound

This paper cites The arcade learning environment: An evaluation platform for general agents.

A Survey of Continual Reinforcement Learning The arcade learning environment: An evaluation platform for general agents

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.947778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9423d14f-91ec-4f24-b28c-de36e6d8bc10 · outbound

This paper cites Progressive Neural Networks.

A Survey of Continual Reinforcement Learning Progressive Neural Networks

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:27:11.158048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ce40946-0517-48f3-80c3-2264f19c5da5 · outbound

This paper cites StarCraft II: A New Challenge for Reinforcement Learning.

A Survey of Continual Reinforcement Learning StarCraft II: A New Challenge for Reinforcement Learning

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:27:11.200227Z

Source-reported events for the cited work

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Observation 32a6c183-0629-404a-8029-233133c45b14 · outbound

This paper cites Lifelong reinforcement learning with temporal logic formulas and reward machines.

A Survey of Continual Reinforcement Learning Lifelong reinforcement learning with temporal logic formulas and reward machines

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.931889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 33925282-0e5a-4b8a-a1fa-820a11ee2696 · outbound

This paper cites Reset-free lifelong learning with skill-space planning.

A Survey of Continual Reinforcement Learning Reset-free lifelong learning with skill-space planning

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.202370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55b3df8d-281a-490a-8296-16a4f7b4fa18 · outbound

This paper cites Model-free generative replay for lifelong reinforcement learning: Application to starcraft-2.

A Survey of Continual Reinforcement Learning Model-free generative replay for lifelong reinforcement learning: Application to starcraft-2

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.120628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c0e337d2-531b-49d5-a644-76028358c161 · outbound

This paper cites Lifelong federated reinforcement learn- ing: A learning architecture for navigation in cloud robotic systems.

A Survey of Continual Reinforcement Learning Lifelong federated reinforcement learn- ing: A learning architecture for navigation in cloud robotic systems

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.026730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 118af6e2-62a8-4ad1-8ba3-f645e0ae9516 · outbound

This paper cites Discorl: Continual reinforcement learning via policy distillation.

A Survey of Continual Reinforcement Learning Discorl: Continual reinforcement learning via policy distillation

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.421526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44082620-c4a0-499c-8455-dd0329c42bff · outbound

This paper cites Continual vision-based reinforcement learning with group symme- tries.

A Survey of Continual Reinforcement Learning Continual vision-based reinforcement learning with group symme- tries

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.227470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 303b791b-35c3-49d4-a128-4311420e6a65 · outbound

This paper cites Evaluating continual learning on a home robot.

A Survey of Continual Reinforcement Learning Evaluating continual learning on a home robot

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.288214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 495f9316-a600-41bd-a01c-b05782289478 · outbound

This paper cites The Hanabi challenge: A new frontier for AI research.

A Survey of Continual Reinforcement Learning The Hanabi challenge: A new frontier for AI research

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.987401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa2a6d7c-5931-4e10-9d8e-dd7bf093dac1 · outbound

This paper cites Meta-World: A benchmark and evaluation for multi-task and meta reinforcement learning.

A Survey of Continual Reinforcement Learning Meta-World: A benchmark and evaluation for multi-task and meta reinforcement learning

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.283887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 91bde47c-78d3-4ab4-b208-4c170d3656f9 · outbound

This paper cites Using task features for zero-shot knowledge transfer in lifelong learning.

A Survey of Continual Reinforcement Learning Using task features for zero-shot knowledge transfer in lifelong learning

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.038028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d0a384fc-ec91-4545-b10c-2a197faad6b8 · outbound

This paper cites A deep hierarchical approach to lifelong learning in minecraft.

A Survey of Continual Reinforcement Learning A deep hierarchical approach to lifelong learning in minecraft

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.951834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3ca6ef8f-5e1c-41b5-8d48-ceb974194ed7 · outbound

This paper cites PathNet: Evolution Channels Gradient Descent in Super Neural Networks.

A Survey of Continual Reinforcement Learning PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Reference 95

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:27:11.138798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ee9ec092-6db5-444f-825a-8c8360b50916 · outbound

This paper cites Selective experience replay for lifelong learning.

A Survey of Continual Reinforcement Learning Selective experience replay for lifelong learning

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.393970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 430f585f-d5e0-4884-bf77-89ed2dde9e5f · outbound

This paper cites State abstractions for lifelong reinforcement learning.

A Survey of Continual Reinforcement Learning State abstractions for lifelong reinforcement learning

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:12.417607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 01c0ebe3-3e3e-4411-8bc0-08c0b04746f1 · outbound

This paper cites Composing value functions in reinforcement learning.

A Survey of Continual Reinforcement Learning Composing value functions in reinforcement learning

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.854198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c2f767ba-2b53-4386-b31b-71d48db83b35 · outbound

This paper cites Experience replay for continual learning.

A Survey of Continual Reinforcement Learning Experience replay for continual learning

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.618533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41155558-dce9-4e25-b1b8-49382d35d32e · outbound

This paper cites Model primitives for hierarchical lifelong reinforcement learning.

A Survey of Continual Reinforcement Learning Model primitives for hierarchical lifelong reinforcement learning

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.960618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aa54b45f-78e4-4864-91f0-d07ac192f820 · outbound

This paper cites Deep reinforcement learning amidst lifelong non-stationarity.

A Survey of Continual Reinforcement Learning Deep reinforcement learning amidst lifelong non-stationarity

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:27:11.639980Z

Source-reported events for the cited work

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Pith citing papers

Observation 94af6eae-201b-430b-b6fe-6754917d7091 · inbound

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Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning A Survey of Continual Reinforcement Learning

Reference 139

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:47.521445Z

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Observation 2412ae16-5e9a-40b5-b564-7a85281ef93e · inbound

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Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-11T19:36:14.650855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 47743675-6bcd-41d1-8d14-00ae3593e0dd · inbound

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Regime-Adaptive Continual Learning for Portfolio Management A Survey of Continual Reinforcement Learning

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-06-28T20:32:37.261070Z

Source-reported events for the cited work

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Observation da285bb5-9a5b-4138-8aa5-fcc1d3441142 · inbound

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Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T02:36:26.590082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c20592d6-2b33-455d-a84e-ee351c363d1c · inbound

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EasyLens: A Training-Free Plug-and-Play Subtle-Lesion Representation Amplifier for Medical Vision-Language Models A Survey of Continual Reinforcement Learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-12T15:01:54.826833Z

Source-reported events for the cited work

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Observation ef9c21df-094f-4543-b88d-c1505b9bcc70 · inbound

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Emergent Language as an Approach to Conscious AI A Survey of Continual Reinforcement Learning

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:16:58.586054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 533b93a4-5150-45aa-9c08-05701e58881d · inbound

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Continual Quadruped Robots Coordination via Semantic Skill Discovery A Survey of Continual Reinforcement Learning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-02T21:37:25.181442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21dd0c6d-fa7e-4830-b873-f87c5e74bbea · inbound

Offline Multi-agent Continual Cooperation via Skill Partition and Reuse cites this paper.

Offline Multi-agent Continual Cooperation via Skill Partition and Reuse A Survey of Continual Reinforcement Learning

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T19:30:07.940887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eabe5058-98a9-4b26-9e80-3762ad6ec7b1 · inbound

Continual-RL for Generalization in Autonomous Racing on the RoboRacer Platform cites this paper.

Continual-RL for Generalization in Autonomous Racing on the RoboRacer Platform A Survey of Continual Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-31T18:18:00.298402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fca4c27e-653f-412c-b5c1-84667ab4b2ca · inbound

PATH-Bench: Path-Dependent Evaluation of Lifelong Agents cites this paper.

PATH-Bench: Path-Dependent Evaluation of Lifelong Agents A Survey of Continual Reinforcement Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:37.297766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c78565f-e685-4545-bc56-87ba44375a07 · inbound

A MARL Centered Reference Architecture for Large Language Model Augmentation in Smart Manufacturing cites this paper.

A MARL Centered Reference Architecture for Large Language Model Augmentation in Smart Manufacturing A Survey of Continual Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T14:00:57.517509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.