Paper Citation Record · LEDGER

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2507.18867.

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

pith.paper-citation-record.v1
2507.18867 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:11:51.843712Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T22:11:35.277901Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

31 of 31 outbound references displayed

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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 86df1eb7-31ff-499f-8a05-7582d87f2d42 · outbound

This paper cites An overview of recent progress in the study of distributed multi-agent coordination,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise An overview of recent progress in the study of distributed multi-agent coordination,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.346192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7aae10c2-ec9c-40f6-a210-59ccbd00f5a4 · outbound

This paper cites Coordinated multi-agent reinforcement learning in networked distributed pomdps,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Coordinated multi-agent reinforcement learning in networked distributed pomdps,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.332714Z

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Observation 928bbe21-dea1-4800-92a2-d5c09fa0eed6 · outbound

This paper cites Interpretation of neural networks is fragile,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Interpretation of neural networks is fragile,

Reference 3

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Observation f02dc4b7-aa54-4ba2-83bc-20b554f92d04 · outbound

This paper cites Guided Deep Reinforcement Learning for Swarm Systems.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Guided Deep Reinforcement Learning for Swarm Systems

Reference 4

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Observation 0ae5c23c-fd1b-49c2-8e86-f864dec45f2a · outbound

This paper cites Q-value path decomposition for deep multiagent reinforce- ment learning,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Q-value path decomposition for deep multiagent reinforce- ment learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.291297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f6ec4a4e-66db-4745-9627-d47e0086627b · outbound

This paper cites RODE: Learning roles to decompose multi-agent tasks,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise RODE: Learning roles to decompose multi-agent tasks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.275210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dc522ff2-f8d9-4f2d-8920-66be7dec5564 · outbound

This paper cites ROMA: Multi-agent reinforcement learning with emergent roles,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise ROMA: Multi-agent reinforcement learning with emergent roles,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.251242Z

Source-reported events for the cited work

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Observation 17163ee2-9a0a-4b59-8fa9-6e68f2bfd633 · outbound

This paper cites Value-decomposition networks for cooperative multi-agent learning based on team reward,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Value-decomposition networks for cooperative multi-agent learning based on team reward,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.238985Z

Source-reported events for the cited work

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Observation 72450c64-c9f6-4d6b-a816-b14b5614cc75 · outbound

This paper cites QMIX: Monotonic value function factorisation for deep multi-agent reinforcement learning,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise QMIX: Monotonic value function factorisation for deep multi-agent reinforcement learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.225317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7644ba24-bc25-4d19-b215-65910de58041 · outbound

This paper cites QPLEX: Duplex dueling multi-agent Q-learning,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise QPLEX: Duplex dueling multi-agent Q-learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.211438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dd050ab3-74cd-4686-a4dd-6b607000b8a6 · outbound

This paper cites Mixrts: Toward interpretable multi-agent reinforcement learning via mixing recurrent soft decision trees,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Mixrts: Toward interpretable multi-agent reinforcement learning via mixing recurrent soft decision trees,

Reference 11

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Observation 7a55ea35-d8c7-4c25-b52b-79801420ac5c · outbound

This paper cites NA 2Q: Neural attention additive model for interpretable multi-agent q-learning,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise NA 2Q: Neural attention additive model for interpretable multi-agent q-learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.190260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f4847e28-195d-45e3-b790-be2c8c1e4fec · outbound

This paper cites A comprehensive survey of multiagent reinforcement learning,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise A comprehensive survey of multiagent reinforcement learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.176156Z

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Observation cd4549f7-d7b7-467e-847c-81185da4cabc · outbound

This paper cites Dynamic agent-based reward shaping for multi-agent systems,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Dynamic agent-based reward shaping for multi-agent systems,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.157085Z

Source-reported events for the cited work

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Observation 135661cd-6a0e-4ecf-9350-bc2dede56e62 · outbound

This paper cites Deep Multiagent Reinforcement Learning: Challenges and Directions.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Deep Multiagent Reinforcement Learning: Challenges and Directions

Reference 15

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Observation c2afbab4-841b-45e2-a6c2-6f345f056307 · outbound

This paper cites Cooperative exploration for multi-agent deep reinforcement learning,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Cooperative exploration for multi-agent deep reinforcement learning,

Reference 16

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Source-reported events for the cited work

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Observation df13e225-1866-4ce0-8d4a-c80628d35866 · outbound

This paper cites Maven: Multi-agent variational exploration,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Maven: Multi-agent variational exploration,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.124487Z

Source-reported events for the cited work

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Observation cb4634f4-e8f4-4aa7-9e1b-188afe0bbfb8 · outbound

This paper cites Liir: Learning individual intrinsic reward in multi-agent reinforcement learning,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Liir: Learning individual intrinsic reward in multi-agent reinforcement learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.112144Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e152f0ad-e6b0-4619-be9d-de4d721080e5 · outbound

This paper cites MASER: Multi-agent reinforcement learning with subgoals generated from experience replay buffer,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise MASER: Multi-agent reinforcement learning with subgoals generated from experience replay buffer,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.099099Z

Source-reported events for the cited work

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Observation 4c71277c-3f95-4217-ad70-7494054548b5 · outbound

This paper cites Individual reward assisted multi-agent reinforcement learning,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Individual reward assisted multi-agent reinforcement learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.086940Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0bd24b21-7f41-4da1-84a3-ca66dac89248 · outbound

This paper cites Haven: hierarchical cooperative multi-agent reinforcement learning with dual coordination mechanism,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Haven: hierarchical cooperative multi-agent reinforcement learning with dual coordination mechanism,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.074201Z

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Observation 6b51b7fa-82ed-4b49-a18c-f78853a97a1d · outbound

This paper cites Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection

Reference 22

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b0495970-2ab0-467c-9552-02fae64ee742 · outbound

This paper cites Dl2: training and querying neural networks with logic,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Dl2: training and querying neural networks with logic,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.060717Z

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Observation 47143ef4-d7de-4bbb-96df-ecc229f0b9ad · outbound

This paper cites Rule-based reinforce- ment learning for efficient robot navigation with space reduction,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Rule-based reinforce- ment learning for efficient robot navigation with space reduction,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.047291Z

Source-reported events for the cited work

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Observation ff1811f7-7cea-4374-9ce0-e181e1928c31 · outbound

This paper cites Extracting decision tree from trained deep reinforcement learning in traffic signal control,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Extracting decision tree from trained deep reinforcement learning in traffic signal control,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.030720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3139a28d-2881-4a15-adec-4878867ed2ae · outbound

This paper cites KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge

Reference 26

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This paper cites QTRAN: Learning to factorize with transformation for cooperative multi-agent reinforcement learning,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise QTRAN: Learning to factorize with transformation for cooperative multi-agent reinforcement learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:52.005740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c6b5f62d-b164-4fc5-949d-95b81035ffcf · outbound

This paper cites Exploration with unreliable intrinsic reward in multi-agent reinforcement learning,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Exploration with unreliable intrinsic reward in multi-agent reinforcement learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:51.990828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4e73d029-9e32-4d44-a71f-1a45254f122b · outbound

This paper cites Discovering generalizable multi-agent coordination skills from multi-task offline data,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Discovering generalizable multi-agent coordination skills from multi-task offline data,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:51.977204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b16e8539-3a27-4d54-afe7-78d763cbaf48 · outbound

This paper cites Shared experience actor- critic for multi-agent reinforcement learning,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise Shared experience actor- critic for multi-agent reinforcement learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:51.963741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2f20e365-ddce-4432-a5f0-8a1708048f2e · outbound

This paper cites The StarCraft Multi-Agent Challenge,.

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise The StarCraft Multi-Agent Challenge,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:11:51.951454Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 4595a430-4bdd-4eb1-a04b-a8175adb6fd6 · inbound

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning cites this paper.

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:15:06.017440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.