Paper Citation Record · LEDGER

Energy-Based Transfer for Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2506.16590.

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

pith.paper-citation-record.v1
2506.16590 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:42:21.787743Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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verified fuzzy15
unresolved18
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External citation measurements

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Outbound references

Observation 5113ad28-9e89-44f7-9197-0fd91d4ee080 · outbound

This paper cites Hindsight experience replay.Advances in neural information processing systems, 30, 2017.

Energy-Based Transfer for Reinforcement Learning Hindsight experience replay.Advances in neural information processing systems, 30, 2017

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:20.079181Z

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Observation ca7c705d-8b26-4a63-8dfc-2054ddb56fa4 · outbound

This paper cites Deep reinforcement learning: A brief survey.IEEE Signal Processing Magazine, 34(6):26–38, 2017.

Energy-Based Transfer for Reinforcement Learning Deep reinforcement learning: A brief survey.IEEE Signal Processing Magazine, 34(6):26–38, 2017

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:20.172706Z

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Observation cac52097-ca97-4204-a126-8911a88173a2 · outbound

This paper cites Torchrl: A data-driven decision-making library for pytorch, 2023.

Energy-Based Transfer for Reinforcement Learning Torchrl: A data-driven decision-making library for pytorch, 2023

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:20.320206Z

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Observation 008bc80b-c5c8-4682-819a-83d7c953d267 · outbound

This paper cites Policy transfer using reward shaping.

Energy-Based Transfer for Reinforcement Learning Policy transfer using reward shaping

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:22.088060Z

Source-reported events for the cited work

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Observation 6e48e6d6-017d-4a58-a348-191c43078aef · outbound

This paper cites Introspective action advising for interpretable transfer learning.

Energy-Based Transfer for Reinforcement Learning Introspective action advising for interpretable transfer learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:22.076920Z

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Observation 05fced0e-2742-4d85-8fb1-b2ae41dd85b4 · outbound

This paper cites On the utility of learning about humans for human-ai coordination.Advances in neural information processing systems, 32, 2019.

Energy-Based Transfer for Reinforcement Learning On the utility of learning about humans for human-ai coordination.Advances in neural information processing systems, 32, 2019

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:20.514972Z

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Observation b2ce6f32-3ac9-44e1-aa5d-c70fe05a013d · outbound

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

Energy-Based Transfer for Reinforcement Learning Minigrid & miniworld: Modular & customizable reinforcement learning environments for goal-oriented tasks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:20.603489Z

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Observation 59b7320d-e1d1-4a40-960b-c78d45b4a243 · outbound

This paper cites Explainable action advising for multi-agent reinforcement learning.

Energy-Based Transfer for Reinforcement Learning Explainable action advising for multi-agent reinforcement learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:22.056322Z

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Observation a05a8e98-8702-47a5-9a09-f5cb650007e5 · outbound

This paper cites an unresolved cited work.

Energy-Based Transfer for Reinforcement Learning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:42:22.044950Z

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Observation cd113b0a-7a06-4315-b4ad-762c75c3fc03 · outbound

This paper cites Reinforcement learning with deep energy-based policies.

Energy-Based Transfer for Reinforcement Learning Reinforcement learning with deep energy-based policies

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:20.882797Z

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Observation 09ad223d-c11d-4173-af9c-1841939870ce · outbound

This paper cites Expressing arbitrary reward functions as potential-based advice.

Energy-Based Transfer for Reinforcement Learning Expressing arbitrary reward functions as potential-based advice

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:22.020642Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 57fdacab-3d40-409c-8153-09a9eed7e5f1 · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Energy-Based Transfer for Reinforcement Learning A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:21.117919Z

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Observation 07477bb6-396d-4878-8f70-86181eb15b77 · outbound

This paper cites Transferring policy of deep reinforcement learning from simulation to reality for robotics.Nature Machine Intelligence, 4(12):1077–1087, 2022.

Energy-Based Transfer for Reinforcement Learning Transferring policy of deep reinforcement learning from simulation to reality for robotics.Nature Machine Intelligence, 4(12):1077–1087, 2022

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:22.010697Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation de92af93-cdd2-4882-b7df-b9b0974a7333 · outbound

This paper cites A tutorial on energy-based learning.Predicting structured data, 1(0), 2006.

Energy-Based Transfer for Reinforcement Learning A tutorial on energy-based learning.Predicting structured data, 1(0), 2006

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:21.299372Z

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Observation 74ac0f85-b374-45fa-b604-3cfa1a4d53ae · outbound

This paper cites Deep Reinforcement Learning: An Overview.

Energy-Based Transfer for Reinforcement Learning Deep Reinforcement Learning: An Overview

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:21.371387Z

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Observation 622f3abe-85ee-4e1d-adfb-8c647beb3744 · outbound

This paper cites Energy-based out-of-distribution detection.Advances in neural information processing systems, 33:21464–21475, 2020.

Energy-Based Transfer for Reinforcement Learning Energy-based out-of-distribution detection.Advances in neural information processing systems, 33:21464–21475, 2020

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:21.995051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d71c0968-6e0d-4cf1-880a-2f5df971e0b9 · outbound

This paper cites Characterizing out-of-distribution error via optimal transport.Advances in Neural Information Processing Systems, 36:17602–17622, 2023.

Energy-Based Transfer for Reinforcement Learning Characterizing out-of-distribution error via optimal transport.Advances in Neural Information Processing Systems, 36:17602–17622, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:21.976955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c4ed34d0-b365-4b70-b077-2a68124e78a8 · outbound

This paper cites University of Wisconsin-Madison.

Energy-Based Transfer for Reinforcement Learning University of Wisconsin-Madison

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:21.966387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 62208f8b-b58f-4ec4-851c-e704ec580428 · outbound

This paper cites Policy invariance under reward transforma- tions: Theory and application to reward shaping.

Energy-Based Transfer for Reinforcement Learning Policy invariance under reward transforma- tions: Theory and application to reward shaping

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:21.722555Z

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Observation aaa8590f-e92e-4dd0-8584-8a37a2104733 · outbound

This paper cites Deep neural networks are easily fooled: High confidence predictions for unrecognizable images.

Energy-Based Transfer for Reinforcement Learning Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:21.949324Z

Source-reported events for the cited work

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Observation 5f1562ae-b514-4585-9b3b-fe5ce35ba953 · outbound

This paper cites Transfer learning and fine- tuned transfer learning methods’ effectiveness analyse in the cnn-based deep learning models.

Energy-Based Transfer for Reinforcement Learning Transfer learning and fine- tuned transfer learning methods’ effectiveness analyse in the cnn-based deep learning models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:21.939727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7fae3eea-146a-459e-b94a-773036c72f49 · outbound

This paper cites Automatic Curriculum Learning For Deep RL: A Short Survey.

Energy-Based Transfer for Reinforcement Learning Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:21.752276Z

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Observation 66f54886-a0f0-4295-a22f-3c375323c52c · outbound

This paper cites Likelihood ratios for out-of-distribution detection.Advances in neural information processing systems, 32, 2019.

Energy-Based Transfer for Reinforcement Learning Likelihood ratios for out-of-distribution detection.Advances in neural information processing systems, 32, 2019

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:21.929000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 47b47bf6-2a53-40c5-af74-0a635efaa990 · outbound

This paper cites Policy Distillation.

Energy-Based Transfer for Reinforcement Learning Policy Distillation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:21.758615Z

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Observation 0c28a6a4-bf45-4af6-8a3d-eac8f7dd2c37 · outbound

This paper cites Kickstarting Deep Reinforcement Learning.

Energy-Based Transfer for Reinforcement Learning Kickstarting Deep Reinforcement Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:21.762144Z

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Observation 1ba6e15f-a06e-40dc-b3e4-ab6d56db54a8 · outbound

This paper cites MIT press Cambridge, 1998.

Energy-Based Transfer for Reinforcement Learning MIT press Cambridge, 1998

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:21.765683Z

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Observation 8b0e84c2-564b-48f7-8544-a0432105b2c3 · outbound

This paper cites Transfer learning for reinforcement learning domains: A survey.Journal of Machine Learning Research, 10(7), 2009.

Energy-Based Transfer for Reinforcement Learning Transfer learning for reinforcement learning domains: A survey.Journal of Machine Learning Research, 10(7), 2009

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:21.770399Z

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Observation c0890ec2-33a9-4e8c-aea3-63bdb4774db8 · outbound

This paper cites Teaching on a budget: Agents advising agents in reinforcement learning.

Energy-Based Transfer for Reinforcement Learning Teaching on a budget: Agents advising agents in reinforcement learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:21.908147Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 210e6868-b91a-46e5-b6d3-1de8433cd77f · outbound

This paper cites Jump-start reinforcement learning.

Energy-Based Transfer for Reinforcement Learning Jump-start reinforcement learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:21.897273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5e207f1-3904-461b-b4b6-7efc8d64dcf1 · outbound

This paper cites A survey of transfer learning.Journal of Big data, 3:1–40, 2016.

Energy-Based Transfer for Reinforcement Learning A survey of transfer learning.Journal of Big data, 3:1–40, 2016

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:21.887793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 321fba6f-a874-4e8c-a89b-5b1d588a02cf · outbound

This paper cites Generalized out-of-distribution detection: A survey.International Journal of Computer Vision, 132(12):5635–5662, 2024.

Energy-Based Transfer for Reinforcement Learning Generalized out-of-distribution detection: A survey.International Journal of Computer Vision, 132(12):5635–5662, 2024

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:21.782318Z

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Observation ce346e79-d1dc-44aa-b7d7-c56bfd72f93e · outbound

This paper cites How transferable are features in deep neural networks?Advances in neural information processing systems, 27, 2014.

Energy-Based Transfer for Reinforcement Learning How transferable are features in deep neural networks?Advances in neural information processing systems, 27, 2014

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:21.785030Z

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Observation 94a97d4b-e979-4da2-8dc9-8ec0f67164c0 · outbound

This paper cites Transfer learning in deep reinforce- ment learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (11):13344–13362, 2023.

Energy-Based Transfer for Reinforcement Learning Transfer learning in deep reinforce- ment learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (11):13344–13362, 2023

Reference 33

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b492e458-1530-4d01-9fcf-e35719ccad39 · outbound

This paper cites URL https://proceedings.mlr.press/v274/guo25a.

Energy-Based Transfer for Reinforcement Learning URL https://proceedings.mlr.press/v274/guo25a

Reference 267

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:22.036378Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

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