Paper Citation Record · LEDGER

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story

As of 18 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 1 inbound Pith citation observation for arXiv:2505.01336.

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

pith.paper-citation-record.v1
2505.01336 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:29:29.088194Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:46:43.051694Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:07:30.774365Z

Reference resolution

71 of 71 outbound references displayed

verified exact4
verified fuzzy41
unresolved26
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ca492feb-432c-4c8f-96e3-dc41bea62bd5 · outbound

This paper cites write newline.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story write newline

Reference 1

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Source-reported events for the cited work

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Observation 7c05293f-56c5-44ed-b56f-4377013ccee7 · outbound

This paper cites V., Christianos, F., and Sch\"afer, L.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story V., Christianos, F., and Sch\"afer, L

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:30.345556Z

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Observation 442054a2-802e-400d-b188-4a8fc295c02d · outbound

This paper cites and Arjun, C.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story and Arjun, C

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:30.329348Z

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Observation b0dcdf61-ee8b-41e4-ba82-1bc4e1fddb09 · outbound

This paper cites R einforcement L earning and optimal control , volume 1.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story R einforcement L earning and optimal control , volume 1

Reference 4

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Observation 8767bd1b-5fb0-44b7-a5fa-b7344f9cf7bd · outbound

This paper cites Explore, discover and learn: Unsupervised discovery of state-covering skills.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Explore, discover and learn: Unsupervised discovery of state-covering skills

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:30.295380Z

Source-reported events for the cited work

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Observation 24508e34-9fad-4231-8791-804c060cdbca · outbound

This paper cites Society of agents: Regret bounds of concurrent thompson sampling.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Society of agents: Regret bounds of concurrent thompson sampling

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:30.280452Z

Source-reported events for the cited work

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Observation be4888aa-63c9-47c8-85e0-54bceac65384 · outbound

This paper cites and Van Roy, B.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story and Van Roy, B

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:30.264759Z

Source-reported events for the cited work

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Observation 5927f593-ea4b-40a5-bd94-b042b5e19d74 · outbound

This paper cites Scalable coordinated exploration in concurrent R einforcement L earning.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Scalable coordinated exploration in concurrent R einforcement L earning

Reference 8

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Observation ad9b63cb-1e3f-4587-baf6-afcdd49338fa · outbound

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

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 9

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Source-reported events for the cited work

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Observation ccac4690-6024-44aa-91ef-15b4aa5c0a28 · outbound

This paper cites Diversity is all you need: Learning skills without a reward function.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Diversity is all you need: Learning skills without a reward function

Reference 10

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Source-reported events for the cited work

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Observation 631da63b-cc94-4f3e-85ed-3824832fbdda · outbound

This paper cites A universal and generative physics engine for robotics and beyond, December 2024.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story A universal and generative physics engine for robotics and beyond, December 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:30.224744Z

Source-reported events for the cited work

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Observation 84608f49-bb27-40fc-a011-e3cf7e6b0f60 · outbound

This paper cites J., and Wierstra, D.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story J., and Wierstra, D

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:30.209778Z

Source-reported events for the cited work

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Observation 20c7bb2f-47f4-46e3-872e-75141856a2a3 · outbound

This paper cites and Brunskill, E.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story and Brunskill, E

Reference 13

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Source-reported events for the cited work

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Observation 410f6f64-dc13-4be9-adfa-c97010a11851 · outbound

This paper cites Geometric Entropic Exploration.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Geometric Entropic Exploration

Reference 14

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Source-reported events for the cited work

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Observation b33cc9f7-785c-462e-b89b-de9ae0f64318 · outbound

This paper cites Fast task inference with variational intrinsic successor features.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Fast task inference with variational intrinsic successor features

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:30.180566Z

Source-reported events for the cited work

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Observation 6e23c389-2c9e-480e-94c1-cf53ae4df2e6 · outbound

This paper cites Provably efficient M aximum E ntropy E xploration.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Provably efficient M aximum E ntropy E xploration

Reference 16

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Source-reported events for the cited work

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Observation e231ee68-daf4-4532-a6db-29f25decab31 · outbound

This paper cites Wasserstein unsupervised R einforcement L earning.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Wasserstein unsupervised R einforcement L earning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:30.150762Z

Source-reported events for the cited work

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Observation 700919e1-78cf-4856-9741-3e2861274449 · outbound

This paper cites Loss- and Reward-Weighting for Efficient Distributed Reinforcement Learning.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Loss- and Reward-Weighting for Efficient Distributed Reinforcement Learning

Reference 18

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Source-reported events for the cited work

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Observation adf1ecaa-1123-4e01-a13c-0a7459e1f5ee · outbound

This paper cites K., Lehnert, L., Rish, I., and Berseth, G.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story K., Lehnert, L., Rish, I., and Berseth, G

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:30.135987Z

Source-reported events for the cited work

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Observation fb1c490d-26f8-4afe-b448-b7175d4e1b90 · outbound

This paper cites Population-Guided Parallel Policy Search for Reinforcement Learning.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Population-Guided Parallel Policy Search for Reinforcement Learning

Reference 20

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Observation 9e4d0888-f228-4415-9791-320f393bb227 · outbound

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Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Unresolved cited work

Reference 21

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Observation 8ebfee3f-53a6-49c0-9fe3-f1d5fb195c2d · outbound

This paper cites Accelerating R einforcement L earning with value-conditional state entropy exploration.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Accelerating R einforcement L earning with value-conditional state entropy exploration

Reference 22

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Observation 54cdb562-1d2d-499e-86c5-5bae2341e4d6 · outbound

This paper cites Efficient Exploration via State Marginal Matching.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Efficient Exploration via State Marginal Matching

Reference 23

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Source-reported events for the cited work

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Observation bfb851c1-619c-4524-b13b-c107124b809d · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 24

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Observation f30d5404-31a0-4c8a-b3dd-5222ee451711 · outbound

This paper cites Celebrating Diversity in Shared Multi-Agent Reinforcement Learning.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Celebrating Diversity in Shared Multi-Agent Reinforcement Learning

Reference 25

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Source-reported events for the cited work

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Observation 381b6ca6-b901-4fed-b096-b4310bb9f20e · outbound

This paper cites and Abbeel, P.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story and Abbeel, P

Reference 26

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Source-reported events for the cited work

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Observation 00c63628-2022-463f-9ee1-6125090490ad · outbound

This paper cites and Abbeel, P.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story and Abbeel, P

Reference 27

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Source-reported events for the cited work

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Observation 1669513c-5c48-4074-ab47-a93c752dc7cc · outbound

This paper cites Trajectory diversity for zero-shot coordination.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Trajectory diversity for zero-shot coordination

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:30.059593Z

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Observation 2337ec25-9ad9-4e2a-97d7-85543a5f3c36 · outbound

This paper cites M., Papini, M., Faccio, F., and Restelli, M.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story M., Papini, M., Faccio, F., and Restelli, M

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:30.044573Z

Source-reported events for the cited work

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Observation 8e8d49e2-8214-4e3f-886c-a05d68e3c7d1 · outbound

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Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Playing Atari with Deep Reinforcement Learning

Reference 30

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Observation 4dd64824-9afb-42a6-a3a9-820edc4199de · outbound

This paper cites Unsupervised R einforcement L earning via state entropy maximization.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Unsupervised R einforcement L earning via state entropy maximization

Reference 31

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Observation c1b5b60c-2dcf-46eb-87f8-946da5754912 · outbound

This paper cites and Restelli, M.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story and Restelli, M

Reference 32

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Observation f05f4f26-f52f-4f02-80ba-3fd46273acaf · outbound

This paper cites Task-agnostic exploration via policy gradient of a non-parametric state entropy estimate.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Task-agnostic exploration via policy gradient of a non-parametric state entropy estimate

Reference 33

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Observation f0d93829-4340-404d-b6b5-67ea4ffaaed5 · outbound

This paper cites The importance of non- M arkovianity in maximum state entropy exploration.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story The importance of non- M arkovianity in maximum state entropy exploration

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.986481Z

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This paper cites Unsupervised R einforcement L earning in multiple environments.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Unsupervised R einforcement L earning in multiple environments

Reference 35

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Observation d8ecfc0b-ebf7-46d8-9cf5-35557721fe12 · outbound

This paper cites Challenging Common Assumptions in Convex Reinforcement Learning.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Challenging Common Assumptions in Convex Reinforcement Learning

Reference 36

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Observation a118b8e0-5b65-45ff-a551-1ed96f472978 · outbound

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Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story k-Means Maximum Entropy Exploration

Reference 37

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Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Unresolved cited work

Reference 38

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Observation d87d4dec-a701-44a3-813a-d81bd69a865f · outbound

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Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Concurrent Meta Reinforcement Learning

Reference 39

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Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story HIQL : Offline goal-conditioned RL with latent states as actions

Reference 40

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Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story and Schaal, S

Reference 41

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Observation 24a44d1d-7862-45b8-82fa-6a21b3432a41 · outbound

This paper cites An analysis of ensemble sampling.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story An analysis of ensemble sampling

Reference 42

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This paper cites Learning to walk in minutes using massively parallel deep reinforcement learning.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Learning to walk in minutes using massively parallel deep reinforcement learning

Reference 43

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Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Trust region policy optimization

Reference 44

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Source-reported events for the cited work

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Observation 7c54071f-5b65-4ec7-a1a9-0040851163ae · outbound

This paper cites State entropy maximization with random encoders for efficient exploration.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story State entropy maximization with random encoders for efficient exploration

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.867018Z

Source-reported events for the cited work

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Observation 6c9bc1fe-9d7a-447a-a502-e9874d2a06eb · outbound

This paper cites Dynamics-aware unsupervised discovery of skills.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Dynamics-aware unsupervised discovery of skills

Reference 46

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Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Unresolved cited work

Reference 47

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Observation f01d4c75-0225-4ad6-ac46-52d719b4ac67 · outbound

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Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Unresolved cited work

Reference 48

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This paper cites S., McAllester, D., Singh, S., and Mansour, Y.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story S., McAllester, D., Singh, S., and Mansour, Y

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.810632Z

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Observation a477bf22-3305-47b1-8b65-bb744fcedb81 · outbound

This paper cites and Lazaric, A.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story and Lazaric, A

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.795543Z

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Observation 0efeffdb-c49c-442a-beb5-a4d2a14523f4 · outbound

This paper cites Active model estimation in M arkov decision processes.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Active model estimation in M arkov decision processes

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.780828Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dd573194-a187-4920-84d0-10133ca38b2d · outbound

This paper cites Fast rates for maximum entropy exploration.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Fast rates for maximum entropy exploration

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.765242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a7487554-9280-464e-83ad-fe9a4bfd6e25 · outbound

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

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Mujoco: A physics engine for model-based control

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T04:29:29.007066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6043888-fd26-4ac9-a448-85f7032defab · outbound

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

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T04:29:29.011405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67d76fbb-6241-447f-b2b3-c5af0fe0560e · outbound

This paper cites Influence-Based Multi-Agent Exploration.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Influence-Based Multi-Agent Exploration

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T04:29:29.016121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 419a58b6-b38b-4577-ae9d-6b20ca4b6553 · outbound

This paper cites an unresolved cited work.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T04:29:29.020821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8974b0d-cb13-4b18-bf95-88db0defa618 · outbound

This paper cites an unresolved cited work.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:29:29.739292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5a195f6-1de4-4931-8acc-f362fb4e0adb · outbound

This paper cites Population-based diverse exploration for sparse-reward multi-agent tasks.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Population-based diverse exploration for sparse-reward multi-agent tasks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.723697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 03a1d753-8ef3-4cf1-b2c8-148186f68d0d · outbound

This paper cites and Spaan, M.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story and Spaan, M

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.708284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 354d8296-3654-4e7a-9132-a03d030263e8 · outbound

This paper cites R einforcement L earning with prototypical representations.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story R einforcement L earning with prototypical representations

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.692984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation accd675a-482e-40c2-9d2e-ef92edfc12ce · outbound

This paper cites Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T04:29:29.043072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eba2651a-d5a2-4c6f-9bae-d6a0b32b0f93 · outbound

This paper cites Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T04:29:29.047457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db2ca706-03be-4702-91b3-d8dcccd0a42e · outbound

This paper cites How to explore with belief: state entropy maximization in POMDP s.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story How to explore with belief: state entropy maximization in POMDP s

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.677136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c3f4dc1-a483-4cfe-8e7d-49428c0338f8 · outbound

This paper cites The limits of pure exploration in POMDP s: When the observation entropy is enough.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story The limits of pure exploration in POMDP s: When the observation entropy is enough

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.659608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4f3f94fc-c073-4c0b-aea5-98ddbf45f2c2 · outbound

This paper cites Towards principled multi-agent task agnostic exploration.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Towards principled multi-agent task agnostic exploration

Reference 65

Resolution: verified exact; raw_fallback, observed 2026-08-16T04:29:29.284977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8cfecac6-f400-427b-90c5-710bbf30a69b · outbound

This paper cites Exploration by maximizing R \'e nyi entropy for reward-free RL framework.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Exploration by maximizing R \'e nyi entropy for reward-free RL framework

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.644476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2a4ad8dc-c69f-4fc0-9e65-6c5744d7e3d0 · outbound

This paper cites Self-Motivated Multi-Agent Exploration.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Self-Motivated Multi-Agent Exploration

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T04:29:29.069855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0130ca62-48bc-410c-846a-db2b1bfe9ff4 · outbound

This paper cites E., and Russell, S.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story E., and Russell, S

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.628691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1f3ddb2f-05cf-414a-a3a4-0afefb1430ba · outbound

This paper cites Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:29:29.132849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f33d6a82-a37c-4136-ba20-0af3af6df307 · outbound

This paper cites No prior mask: Eliminate redundant action for deep reinforcement learning.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story No prior mask: Eliminate redundant action for deep reinforcement learning

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.613868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1fa9708d-ec70-4202-bb55-7396abcb5535 · outbound

This paper cites Explore to generalize in zero-shot RL.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Explore to generalize in zero-shot RL

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:29.597053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 62b6628d-e11e-4d08-b5f7-7514e69c5c9b · inbound

Agent Economics: An Entropy-Controlled Pluralistic Alignment Framework for Preventing Artificial Hivemind in Autonomous Agents cites this paper.

Agent Economics: An Entropy-Controlled Pluralistic Alignment Framework for Preventing Artificial Hivemind in Autonomous Agents Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:07:30.775656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.