Paper Citation Record · LEDGER

Optimistic critics can empower small actors

As of 22 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2506.01016.

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

pith.paper-citation-record.v1
2506.01016 v3

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:55:37.787566Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T17:28:00.929990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:59:33.003770Z

Reference resolution

59 of 59 outbound references displayed

verified exact0
verified fuzzy38
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17795620-62f7-4b1c-9600-6922e3bcd169 · outbound

This paper cites Layer Normalization.

Optimistic critics can empower small actors Layer Normalization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:33.259116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65ec9b92-323d-4c96-8375-d609f892ca8e · outbound

This paper cites Unbiased Asymmetric Reinforcement Learning under Partial Observability.

Optimistic critics can empower small actors Unbiased Asymmetric Reinforcement Learning under Partial Observability

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:46.423413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6780b4cb-cbe3-4cb8-bf1a-2471b589c07d · outbound

This paper cites On the consistency of hyper-parameter selection in value-based deep reinforcement learning.

Optimistic critics can empower small actors On the consistency of hyper-parameter selection in value-based deep reinforcement learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:46.249024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e6029c50-c50b-48f7-9495-7b2300851f6f · outbound

This paper cites Better exploration with optimistic actor critic.

Optimistic critics can empower small actors Better exploration with optimistic actor critic

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:46.051262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8f0e43a7-64f7-47b8-b883-0b99edcad5ef · outbound

This paper cites an unresolved cited work.

Optimistic critics can empower small actors Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:33.460809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d8add7-8651-4219-befa-3d95af31a67d · outbound

This paper cites IMPALA : Scalable Distributed Deep - RL with Importance Weighted Actor - Learner Architectures.

Optimistic critics can empower small actors IMPALA : Scalable Distributed Deep - RL with Importance Weighted Actor - Learner Architectures

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:45.891823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ba9913be-a823-4ec5-9368-2eadd41cb778 · outbound

This paper cites On Interpretability of Artificial Neural Networks : A Survey.

Optimistic critics can empower small actors On Interpretability of Artificial Neural Networks : A Survey

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:45.717700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 662793bf-1b08-424e-a92d-0acc48e038c8 · outbound

This paper cites Foundation models in robotics: Applications , challenges, and the future.

Optimistic critics can empower small actors Foundation models in robotics: Applications , challenges, and the future

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:45.570205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c7bf2f58-69b4-4297-8b29-ba8b5c5c2b10 · outbound

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

Optimistic critics can empower small actors Addressing function approximation error in actor-critic methods

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:45.390687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71483561-9345-49c7-9640-f1cad966575b · outbound

This paper cites Soft Actor - Critic : Off - Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

Optimistic critics can empower small actors Soft Actor - Critic : Off - Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:45.211698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 90e73314-5b08-416d-8f4d-5a11b20291dd · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

Optimistic critics can empower small actors Soft Actor-Critic Algorithms and Applications

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:34.022170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94482e09-e2cc-46de-86ee-826d9f0c8514 · outbound

This paper cites Array programming with numpy.

Optimistic critics can empower small actors Array programming with numpy

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:34.271463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 957529bd-0e4e-4bcd-8c98-0f1b7d7b595f · outbound

This paper cites Double q-learning.

Optimistic critics can empower small actors Double q-learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:45.025962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b0f27cd7-b467-4c8f-9860-11d284b9a827 · outbound

This paper cites Deep reinforcement learning with double q-learning.

Optimistic critics can empower small actors Deep reinforcement learning with double q-learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:44.811818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f9f39f6-412e-43f0-a1d1-ba01ef144007 · outbound

This paper cites Wd3: Taming the estimation bias in deep reinforcement learning.

Optimistic critics can empower small actors Wd3: Taming the estimation bias in deep reinforcement learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:34.493059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edb555c0-3c3a-4e5f-b9c1-5dfc15a2a0ab · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Optimistic critics can empower small actors Distilling the Knowledge in a Neural Network

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:34.590388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e90a5005-c23a-4336-a4da-7e2caf6dc3e5 · outbound

This paper cites Toward General - Purpose Robots via Foundation Models : A Survey and Meta - Analysis , October 2024.

Optimistic critics can empower small actors Toward General - Purpose Robots via Foundation Models : A Survey and Meta - Analysis , October 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:44.617173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f80ed92f-b878-45e5-9080-ed54ac5a4be3 · outbound

This paper cites Matplotlib: A 2d graphics environment.

Optimistic critics can empower small actors Matplotlib: A 2d graphics environment

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:44.435346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1969f05e-e60b-478d-9850-0bbe28cad80d · outbound

This paper cites Langevin soft actor-critic: Efficient exploration through uncertainty-driven critic learning.

Optimistic critics can empower small actors Langevin soft actor-critic: Efficient exploration through uncertainty-driven critic learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:44.270302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 502f7a6f-107d-4293-b0d4-e88327052d1e · outbound

This paper cites Littman, and Anthony R.

Optimistic critics can empower small actors Littman, and Anthony R

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:44.121157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bbf3244c-909a-4708-844e-304d42397f75 · outbound

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

Optimistic critics can empower small actors Plasticity Loss in Deep Reinforcement Learning: A Survey

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:34.984680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e72630b-85b3-4cfe-82d5-2b3631d01cba · outbound

This paper cites Jupyter Notebooks a publishing format for reproducible computational workflows.

Optimistic critics can empower small actors Jupyter Notebooks a publishing format for reproducible computational workflows

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:35.075534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10b60089-1398-447a-a2bb-65874c482765 · outbound

This paper cites JAXRL: Implementations of Reinforcement Learning algorithms in JAX , 10 2021.

Optimistic critics can empower small actors JAXRL: Implementations of Reinforcement Learning algorithms in JAX , 10 2021

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:43.957269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation aa3051b2-d837-4807-b994-4555f733270d · outbound

This paper cites Implicit under-parameterization inhibits data-efficient deep reinforcement learning.

Optimistic critics can empower small actors Implicit under-parameterization inhibits data-efficient deep reinforcement learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:35.237383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e61c4044-ac29-400c-b94b-c2fd4e8076da · outbound

This paper cites Maintaining plasticity in continual learning via regenerative regularization, 2024.

Optimistic critics can empower small actors Maintaining plasticity in continual learning via regenerative regularization, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:43.816526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8f19ce19-a2db-4b84-8382-b03ccde148e8 · outbound

This paper cites Efficient Deep Reinforcement Learning Requires Regulating Overfitting.

Optimistic critics can empower small actors Efficient Deep Reinforcement Learning Requires Regulating Overfitting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:35.378696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf3329d-94e2-40bb-ab72-b9cbe100b190 · outbound

This paper cites Realistic actor-critic: A framework for balance between value overestimation and underestimation.

Optimistic critics can empower small actors Realistic actor-critic: A framework for balance between value overestimation and underestimation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:35.470015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a65aa76d-020b-4176-b609-3d3fe1e356b2 · outbound

This paper cites Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond.

Optimistic critics can empower small actors Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:43.587345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 259541eb-3547-4881-8115-f9b54b9a9669 · outbound

This paper cites Continuous control with deep reinforcement learning.

Optimistic critics can empower small actors Continuous control with deep reinforcement learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:35.640158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7219061-ba74-43af-91ae-2abbb810e6cf · outbound

This paper cites Visual whole-body control for legged loco-manipulation.

Optimistic critics can empower small actors Visual whole-body control for legged loco-manipulation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:43.321129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 26cd8e57-9dd9-4940-9cf5-1d8f11302c2d · outbound

This paper cites Regularization matters in policy optimization - an empirical study on continuous control.

Optimistic critics can empower small actors Regularization matters in policy optimization - an empirical study on continuous control

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:43.031740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b294bd34-7aae-43f8-bf3d-a6a08fc3cd21 · outbound

This paper cites Disentangling the Causes of Plasticity Loss in Neural Networks.

Optimistic critics can empower small actors Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:35.870576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0baf1f4-1bdc-4b9f-adaa-087ce8c87592 · outbound

This paper cites A deeper understanding of state-based critics in multi-agent reinforcement learning.

Optimistic critics can empower small actors A deeper understanding of state-based critics in multi-agent reinforcement learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:42.659343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44874a25-c109-44b7-b6f4-b81d783febf5 · outbound

This paper cites Revisiting Plasticity in Visual Reinforcement Learning : Data , Modules and Training Stages.

Optimistic critics can empower small actors Revisiting Plasticity in Visual Reinforcement Learning : Data , Modules and Training Stages

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:42.338466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 82053962-a8dc-4427-9fcc-3747010bdc44 · outbound

This paper cites Python for Data Analysis: Data Wrangling with Pandas, NumPy , and IPython.

Optimistic critics can empower small actors Python for Data Analysis: Data Wrangling with Pandas, NumPy , and IPython

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:36.164344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3a5c5dc-6d26-4df7-a87f-760793d07161 · outbound

This paper cites Spectral normalization for generative adversarial networks.

Optimistic critics can empower small actors Spectral normalization for generative adversarial networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:42.073868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 799dc7b4-794d-48ce-b26c-03e220baf998 · outbound

This paper cites Rusu, Joel Veness, Marc G.

Optimistic critics can empower small actors Rusu, Joel Veness, Marc G

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:36.338454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1362fe37-2149-4dd1-bac9-c3bb51e0255c · outbound

This paper cites an unresolved cited work.

Optimistic critics can empower small actors Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:55:41.849400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 17b99e03-460c-43cd-aa12-1b340a2dd4b3 · outbound

This paper cites Overestimation, overfitting, and plasticity in actor-critic: the bitter lesson of reinforcement learning.

Optimistic critics can empower small actors Overestimation, overfitting, and plasticity in actor-critic: the bitter lesson of reinforcement learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:41.588978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 706f6f4a-30c5-46d2-85cc-9a43b9beccab · outbound

This paper cites The Primacy Bias in Deep Reinforcement Learning.

Optimistic critics can empower small actors The Primacy Bias in Deep Reinforcement Learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:41.251186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7130d1e9-240d-4166-a1ea-c1f89b9eb2ad · outbound

This paper cites Oliphant.

Optimistic critics can empower small actors Oliphant

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:36.605694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fb29f38-1a84-40d9-b879-c62289eae17b · outbound

This paper cites The difficulty of passive learning in deep reinforcement learning.

Optimistic critics can empower small actors The difficulty of passive learning in deep reinforcement learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:41.010323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dbded42b-128d-4219-9673-61a4d3648590 · outbound

This paper cites Puterman.

Optimistic critics can empower small actors Puterman

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:40.729052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d0574751-54a6-448f-a077-8cde03e56987 · outbound

This paper cites Policy Distillation.

Optimistic critics can empower small actors Policy Distillation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:36.884270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d1d0e81-9034-4cb3-95c9-13a748eaa30a · outbound

This paper cites A Large Recurrent Action Model : xLSTM enables Fast Inference for Robotics Tasks , February 2025.

Optimistic critics can empower small actors A Large Recurrent Action Model : xLSTM enables Fast Inference for Robotics Tasks , February 2025

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:40.524143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4e657674-4a72-4e04-84ba-69e1e299c8b6 · outbound

This paper cites The dormant neuron phenomenon in deep reinforcement learning.

Optimistic critics can empower small actors The dormant neuron phenomenon in deep reinforcement learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:40.285320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f8e465a3-7284-4237-b01c-60d8dbf6032b · outbound

This paper cites Maxinforl: Boosting exploration in reinforcement learning through information gain maximization.

Optimistic critics can empower small actors Maxinforl: Boosting exploration in reinforcement learning through information gain maximization

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:40.079940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 41224d05-b36b-4e4f-94af-9427755e1842 · outbound

This paper cites Sutton and Andrew G.

Optimistic critics can empower small actors Sutton and Andrew G

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:37.157121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73e19dfd-650c-4e01-b432-88e10f50d592 · outbound

This paper cites Deep Reinforcement Learning for Robotics : A Survey of Real - World Successes.

Optimistic critics can empower small actors Deep Reinforcement Learning for Robotics : A Survey of Real - World Successes

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:39.769929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ad5ee0e2-f0f1-464e-a1d3-62cefd296306 · outbound

This paper cites DeepMind Control Suite , January 2018.

Optimistic critics can empower small actors DeepMind Control Suite , January 2018

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:39.501265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d203f2e4-45b7-40c1-8266-3b19cc5d3ca7 · outbound

This paper cites dm\_control: Software and tasks for continuous control.

Optimistic critics can empower small actors dm\_control: Software and tasks for continuous control

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:39.349161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 26c91935-1d70-4151-b8f3-0b46687b5b16 · outbound

This paper cites L2 Regularization versus Batch and Weight Normalization.

Optimistic critics can empower small actors L2 Regularization versus Batch and Weight Normalization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:37.396739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d058ddd-0cdd-4778-89cd-da599af9ef70 · outbound

This paper cites Python reference manual.

Optimistic critics can empower small actors Python reference manual

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:39.142846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c3fcd11f-ded1-4626-98c4-546dcbc73576 · outbound

This paper cites Wurman, and Peter Stone.

Optimistic critics can empower small actors Wurman, and Peter Stone

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:39.023870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea71a7c1-a3e2-4fc0-b3a0-2db623dbe9af · outbound

This paper cites Motion planning and control for mobile robot navigation using machine learning: a survey.

Optimistic critics can empower small actors Motion planning and control for mobile robot navigation using machine learning: a survey

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:38.831973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 967af573-a0d7-4893-8eff-c3cdc5527063 · outbound

This paper cites Benchmarking Reinforcement Learning Techniques for Autonomous Navigation.

Optimistic critics can empower small actors Benchmarking Reinforcement Learning Techniques for Autonomous Navigation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:38.663638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f96fee66-de3a-4fca-b22f-ec3f370983d7 · outbound

This paper cites Improving sample efficiency in model-free reinforcement learning from images, 2020.

Optimistic critics can empower small actors Improving sample efficiency in model-free reinforcement learning from images, 2020

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:38.477207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a3cd9db7-0b4c-4714-b52e-720f47ea6543 · outbound

This paper cites Image augmentation is all you need: Regularizing deep reinforcement learning from pixels.

Optimistic critics can empower small actors Image augmentation is all you need: Regularizing deep reinforcement learning from pixels

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:38.363798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce5e4aba-2621-48f4-9382-3532faa6a304 · outbound

This paper cites write newline.

Optimistic critics can empower small actors write newline

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:37.787566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 14f042d4-1307-49d6-97bf-4b15bc080217 · inbound

Augmenting Game AI with Deep Reinforcement Learning cites this paper.

Augmenting Game AI with Deep Reinforcement Learning Optimistic critics can empower small actors

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:59:33.006014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.