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Paper Citation Record · LEDGER

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective

As of 7 August 2026, this Paper Citation Record lists 100 of 180 outbound references and 1 inbound Pith citation observation for arXiv:2507.09495.

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

pith.paper-citation-record.v1
2507.09495 v1

Coverage vector

measured 100 of 180 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:57:08.508816Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T19:03:03.886581Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T19:03:08.378969Z

Reference resolution

100 of 180 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved98
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a2085058-4427-4276-b642-97a4ea49b422 · outbound

This paper cites Multi-agent reinforcement learning: Foundations and modern approaches.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Multi-agent reinforcement learning: Foundations and modern approaches

Reference 1

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Observation 65500bde-5bb0-4996-91d0-5f8bb4ceb4e2 · outbound

This paper cites From Imitation to Refinement -- Residual RL for Precise Assembly.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 2

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Observation 9c225ea1-6557-43cf-97d1-789062e8e115 · outbound

This paper cites Foundation Mod- els Defining a New Era in Vision: a Survey and Outlook.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Foundation Mod- els Defining a New Era in Vision: a Survey and Outlook

Reference 3

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Observation fce280fa-4dfb-406c-84e6-7c32ce9d8d47 · outbound

This paper cites Evolutionary reinforcement learning: A survey.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Evolutionary reinforcement learning: A survey

Reference 4

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Observation 3f8d8296-cdd4-4874-83c3-4a0ca6de77ea · outbound

This paper cites The power of generative ai: A review of requirements, models, input–output formats, evaluation metrics, and challenges.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective The power of generative ai: A review of requirements, models, input–output formats, evaluation metrics, and challenges

Reference 5

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Observation 71b083e2-bbe2-423a-b6e7-3ff9007d3c3b · outbound

This paper cites Recent advances in hierarchical reinforcement learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Recent advances in hierarchical reinforcement learning

Reference 6

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Observation 1a43708f-5ad7-4412-b84f-264441d6eccb · outbound

This paper cites Modelling and prediction in a complex world.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Modelling and prediction in a complex world

Reference 7

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Observation 03e565fe-313c-4cb9-b7cc-698c78718c85 · outbound

This paper cites DeepMind Lab.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective DeepMind Lab

Reference 8

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Observation 0a4120c5-b91d-4bfe-a8f3-b07b2574ead5 · outbound

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

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective The arcade learning environment: An evaluation platform for general agents

Reference 9

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Observation d3059d33-5017-4369-b9a5-f719c543ce5d · outbound

This paper cites Ex- ploiting redundancy for reliability analysis of sensor perception in automated driving vehi- cles.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Ex- ploiting redundancy for reliability analysis of sensor perception in automated driving vehi- cles

Reference 10

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Observation f2997cff-248e-4605-b66e-a3741e47ecf9 · outbound

This paper cites Multiagent reinforcement learning: Rollout and policy iteration.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Multiagent reinforcement learning: Rollout and policy iteration

Reference 11

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Observation 3b3f179c-6406-4da2-9797-a649b57d6cf0 · outbound

This paper cites Stochastic model updat- ing with uncertainty quantification: an overview and tutorial.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Stochastic model updat- ing with uncertainty quantification: an overview and tutorial

Reference 12

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Observation a3681d17-40b5-4002-89e4-6e79f1ef3d26 · outbound

This paper cites Evolutionary dy- namics of multi-agent learning: A survey.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Evolutionary dy- namics of multi-agent learning: A survey

Reference 13

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Observation 0d8e1ecb-f769-49ce-b6cc-7bd1193cca6c · outbound

This paper cites Uncertainty Quantification with Generative Models.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Uncertainty Quantification with Generative Models

Reference 14

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Observation d2c37e8a-bb69-4641-b7d6-2e50d3a0a15c · outbound

This paper cites Human–agent interaction.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Human–agent interaction

Reference 15

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Observation b860fcbc-4008-442a-99e2-e9eb56e75962 · outbound

This paper cites OpenAI Gym.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective OpenAI Gym

Reference 16

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source=pdf_text observed=2026-08-06T17:57:08.207193Z digest=sha256:25667d59669dbdb05fd84b72facde79c208d729f9930ca323ec89fbafe1b6399

Observation 5a1a9fd4-4673-43e2-aa94-1312c694a1ea · outbound

This paper cites A comprehensive survey of mul- tiagent reinforcement learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective A comprehensive survey of mul- tiagent reinforcement learning

Reference 17

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Observation d7ae785f-6fbb-4328-992b-4567826c5316 · outbound

This paper cites Multi-agent reinforcement learning: A review of challenges and applications.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Multi-agent reinforcement learning: A review of challenges and applications

Reference 18

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Observation f9c53c47-8aeb-40ca-9519-2fc09707df50 · outbound

This paper cites A survey on generative diffusion models.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective A survey on generative diffusion models

Reference 19

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Observation 94a67fd3-e025-427f-8432-9bc648116c74 · outbound

This paper cites Simple Hierarchical Planning with Diffusion.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Simple Hierarchical Planning with Diffusion

Reference 20

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Observation 8fe6566a-1829-4eba-992d-73c6bb620b65 · outbound

This paper cites Adversarial counterfactual environment model learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Adversarial counterfactual environment model learning

Reference 21

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Observation 8acdc828-97f3-44f2-9113-310d6356e730 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffu- sion.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Diffusion policy: Visuomotor policy learning via action diffu- sion

Reference 22

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Observation fe531cb2-c134-4a41-8b66-f1dbdd07bc09 · outbound

This paper cites A survey on aerial swarm robotics.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective A survey on aerial swarm robotics

Reference 23

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Observation 32ed251e-c8d4-4ec0-a695-175e1c075e3d · outbound

This paper cites Designing human-agent collaborations: Commitment, responsiveness, and sup- port.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Designing human-agent collaborations: Commitment, responsiveness, and sup- port

Reference 24

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Observation 7409b4ae-9f2c-4fa1-aeed-528fd3d624b1 · outbound

This paper cites Hierarchical planning in a distributed environment.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Hierarchical planning in a distributed environment

Reference 25

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Observation 3494bb18-e648-42b0-8e65-f190fb49e301 · outbound

This paper cites Adaptive dynamics in coordination games.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Adaptive dynamics in coordination games

Reference 26

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Observation 30305fae-4a84-4bf1-9d0e-eb16753c06c4 · outbound

This paper cites From creatures of habit to goal-directed learners: Tracking the developmental emergence of model- based reinforcement learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective From creatures of habit to goal-directed learners: Tracking the developmental emergence of model- based reinforcement learning

Reference 27

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Observation 68b8006c-20c8-4de3-85e4-c78638f61df7 · outbound

This paper cites Analytical evaluation of hierarchical planning systems.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Analytical evaluation of hierarchical planning systems

Reference 28

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Observation 4f97ec2c-e2b7-4401-84cc-59440e8174df · outbound

This paper cites Swarm robotics: A perspective on the latest reviewed concepts and applications.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Swarm robotics: A perspective on the latest reviewed concepts and applications

Reference 29

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Observation eed115d1-6909-4d37-a272-dcb2fbc9db50 · outbound

This paper cites Tutorial on Variational Autoencoders.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Tutorial on Variational Autoencoders

Reference 30

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Observation 647f7a18-eb24-49e1-94b0-9ceac9a3910a · outbound

This paper cites Swarm robotics: Past, present, and future [point of view].

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Swarm robotics: Past, present, and future [point of view]

Reference 31

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Observation f6a10d56-2093-4e07-9798-b0306386579e · outbound

This paper cites A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications

Reference 32

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Observation 611fddd2-c4d0-4182-8f8c-7c17f856217b · outbound

This paper cites GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations

Reference 33

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Observation 15c6ba7d-33a5-4c90-a857-2c9a7d541967 · outbound

This paper cites Minecraft, beyond construction and survival.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Minecraft, beyond construction and survival

Reference 34

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Observation 33cd9862-c1d3-4dc9-9513-7ceecda5a44b · outbound

This paper cites Biases for emergent communication in multi-agent reinforcement learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Biases for emergent communication in multi-agent reinforcement learning

Reference 35

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source=pdf_text observed=2026-08-06T17:57:08.274634Z digest=sha256:2a3fe6e97fd84c8011438f7f47ecaa8c9b496feaae52348327fdd65f15149d8d

Observation 3320755f-9560-46bc-b7c0-575b0117cd90 · outbound

This paper cites Scalable Multi-Agent Model-Based Reinforcement Learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Scalable Multi-Agent Model-Based Reinforcement Learning

Reference 36

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source=pdf_text observed=2026-08-06T17:57:08.278860Z digest=sha256:4ccc022f40c4be121cfaf4db20b137cabbcac077db2c3f5cb4663bdbc68d6958

Observation b9cf3c3c-8c82-4afe-835d-d8c8b7442702 · outbound

This paper cites SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Reference 37

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Observation e4126653-2d6d-4474-b678-fa70c09f17eb · outbound

This paper cites Adaptive team coordination.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Adaptive team coordination

Reference 38

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Observation 93eb87ec-4308-432f-b170-beed3c59cb21 · outbound

This paper cites The influence of agent reliability on trust in human-agent collabo- ration.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective The influence of agent reliability on trust in human-agent collabo- ration

Reference 39

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Observation acc6ca0c-3769-4bd1-981e-1cafc91decd3 · outbound

This paper cites Extending the recognition- primed decision model to support human-agent collaboration.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Extending the recognition- primed decision model to support human-agent collaboration

Reference 40

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Observation d15e1ff7-14aa-46af-8e01-dee9e192c002 · outbound

This paper cites GenAI against humanity: Nefarious applications of generative artificial intelligence and large language models.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective GenAI against humanity: Nefarious applications of generative artificial intelligence and large language models

Reference 41

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Observation 81ac8566-4dd1-4413-8ccc-6d546a02ec4c · outbound

This paper cites Generative ai.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Generative ai

Reference 42

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Observation 2f96b05c-317d-4526-b311-37e222df6563 · outbound

This paper cites Learn- ing to communicate with deep multi-agent reinforcement learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Learn- ing to communicate with deep multi-agent reinforcement learning

Reference 43

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Observation 00a80ef1-071a-4ee9-b654-d5be11dc9845 · outbound

This paper cites Counterfactual vision-and-language navigation via adversarial path sampler.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Counterfactual vision-and-language navigation via adversarial path sampler

Reference 44

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Observation 29b5aab9-c7c0-4af1-adfc-27a34203d1da · outbound

This paper cites Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration

Reference 45

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Observation 9d8f5c46-2874-4836-9154-143ae7a1ec79 · outbound

This paper cites Cardreamer: Open-source learning platform for world model based autonomous driving.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Cardreamer: Open-source learning platform for world model based autonomous driving

Reference 46

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Observation ad04fa96-04fa-49c9-a242-36d0f07acc8b · outbound

This paper cites Model predictive control: Theory and practice—A survey.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Model predictive control: Theory and practice—A survey

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Observation 7328455e-21d7-4598-a029-ae77df503108 · outbound

This paper cites A framework for sequential planning in multi- agent settings.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective A framework for sequential planning in multi- agent settings

Reference 48

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Observation 3f60a63c-75a6-4506-ba00-3202ec040a25 · outbound

This paper cites An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications

Reference 49

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Observation 2983d9ad-735f-4419-a16e-b3d79f351cfe · outbound

This paper cites Multi-agent deep reinforcement learning: a survey.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Multi-agent deep reinforcement learning: a survey

Reference 50

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Observation 2fdc1283-8f3d-4ef0-9dcf-41d5c0d6d0d9 · outbound

This paper cites Concept-based un- derstanding of emergent multi-agent behavior.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Concept-based un- derstanding of emergent multi-agent behavior

Reference 51

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Observation 5c7d2bc8-d1d2-4c88-a448-6a6583813caa · outbound

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

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 52

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Observation ceb2ed73-d0c6-458e-91d2-7a66b478eb5c · outbound

This paper cites Networked Multi-Agent Reinforcement Learning with Emergent Communication.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Networked Multi-Agent Reinforcement Learning with Emergent Communication

Reference 53

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source=pdf_text observed=2026-08-06T17:57:08.338404Z digest=sha256:8abb75fe0ef1dc72ab414bee5d84a7505d0bc23b59d3fc27860f7d175f8d1bed

Observation 77977bf0-3bf7-4124-bf79-a649b5830743 · outbound

This paper cites Recurrent world models facilitate policy evolution.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Recurrent world models facilitate policy evolution

Reference 54

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Observation 53c8ab06-d312-4b41-91b7-5cec96ddfa19 · outbound

This paper cites World Models.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective World Models

Reference 55

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Observation d31b1e51-0f57-434c-8359-f2141b90fc77 · outbound

This paper cites Deep hierarchical plan- ning from pixels.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Deep hierarchical plan- ning from pixels

Reference 56

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Observation 53acc668-cda1-4483-9aa0-37bb85701b5c · outbound

This paper cites Learning latent dynamics for planning from pixels.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Learning latent dynamics for planning from pixels

Reference 57

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Observation b89f7375-ae50-4ce2-b33b-b258726d5942 · outbound

This paper cites Mastering Atari with Discrete World Models.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Mastering Atari with Discrete World Models

Reference 58

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Observation 602f7c77-b38c-426c-975c-326b1c07b9af · outbound

This paper cites Mastering Diverse Domains through World Models.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Mastering Diverse Domains through World Models

Reference 59

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Observation df0fd140-fc59-4342-aaaa-80d2d69f4f45 · outbound

This paper cites A comprehensive survey and analysis of generative models in machine learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective A comprehensive survey and analysis of generative models in machine learning

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Observation fc42466d-e6f9-4a33-ac93-d07c72bdcf36 · outbound

This paper cites Opponent modeling in deep reinforcement learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Opponent modeling in deep reinforcement learning

Reference 61

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Observation cb3adc4e-d9c6-4ea2-97db-706df8da744f · outbound

This paper cites A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity

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Observation 8a4b1d10-bd80-4395-80b9-8daade278f44 · outbound

This paper cites HDDL: An extension to PDDL for expressing hierarchical planning problems.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective HDDL: An extension to PDDL for expressing hierarchical planning problems

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Observation 98ac1d49-a500-4a90-851e-807ec033ad31 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective GAIA-1: A Generative World Model for Autonomous Driving

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source=pdf_text observed=2026-08-06T17:57:08.377392Z digest=sha256:5f4e8bf8b42d2f70b8ff5cb5729f60657ec8287e05d1a4e5a8167aeffb8a67cc

Observation 3e19c696-c2af-43c6-bd84-71d64f848b02 · outbound

This paper cites Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

Reference 65

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Observation 73cae829-8867-4502-9250-2b83778fd7f7 · outbound

This paper cites MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library

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Observation bc7d975d-fe8f-43ac-8047-c9530f4806bc · outbound

This paper cites Deep reinforcement learn- ing for swarm systems.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Deep reinforcement learn- ing for swarm systems

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Observation 702d4bd5-0c73-484d-82ab-15ee8b39175c · outbound

This paper cites Reinforcement learning algorithm for partially observable Markov decision problems.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Reinforcement learning algorithm for partially observable Markov decision problems

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Observation 64a8fe0e-4e7e-43e1-801d-b6aa614249c3 · outbound

This paper cites Learning attentional communication for multi-agent co- operation.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Learning attentional communication for multi-agent co- operation

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source=pdf_text observed=2026-08-06T17:57:08.396093Z digest=sha256:7644e1cc5caf49a94085d45f17394266efc652331df528f18a00f79ec62fcdf9

Observation 031aa91d-85fb-4d1d-baeb-cd0a27715ac3 · outbound

This paper cites Reinforcement learning of coordination in het- erogeneous cooperative multi-agent systems.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Reinforcement learning of coordination in het- erogeneous cooperative multi-agent systems

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Observation 297d55db-fb62-47d2-a382-3e37ecc75e04 · outbound

This paper cites On generating plausible counterfactual and semi-factual explanations for deep learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective On generating plausible counterfactual and semi-factual explanations for deep learning

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Observation 1c0594bc-17a5-4821-8247-d9bb1ea91530 · outbound

This paper cites An overview of swarm robotics: Swarm intelligence applied to multi-robotics.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective An overview of swarm robotics: Swarm intelligence applied to multi-robotics

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source=pdf_text observed=2026-08-06T17:57:08.405852Z digest=sha256:1ef27ffe3bef3c5df590849b45f75fd222dd5f2a1919f1c470d16469b4ff2244

Observation 6ea5ef3d-deee-43e0-864f-6224c70ba49a · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective OpenVLA: An Open-Source Vision-Language-Action Model

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Observation 35772ec2-ba35-4d70-93ac-65347bb79743 · outbound

This paper cites Communication in multi-agent reinforce- ment learning: Intention sharing.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Communication in multi-agent reinforce- ment learning: Intention sharing

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source=pdf_text observed=2026-08-06T17:57:08.413692Z digest=sha256:f8d56a987dc6cdc653a07b4768422da5ce4da5953b1c352b33799c87254b6c80

Observation d5bfc42d-a10e-4f95-bf3d-abdf95207a88 · outbound

This paper cites Auto-Encoding Variational Bayes.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Auto-Encoding Variational Bayes

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source=pdf_text observed=2026-08-06T17:57:08.417114Z digest=sha256:668346ae0c13eb3374ea574f17899f32ba59792bb1abfccf428f32de1499795f

Observation 49122826-ea69-4e39-beda-74809d23d43e · outbound

This paper cites Human interaction with robot swarms: A survey.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Human interaction with robot swarms: A survey

Reference 76

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Observation c05f9a9d-6781-4e41-97c3-b016df3fe54d · outbound

This paper cites Multi-agent reinforcement learning with multi-step generative models.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Multi-agent reinforcement learning with multi-step generative models

Reference 77

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source=pdf_text observed=2026-08-06T17:57:08.423714Z digest=sha256:3d45bda2c3595fa0dbf6dd9eac00f2edb51cfdd220d768932a26fa54504b520d

Observation 5e093172-a8ce-45df-91fc-d68450c80dea · outbound

This paper cites Conservative Q-Learning for Offline Reinforcement Learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Conservative Q-Learning for Offline Reinforcement Learning

Reference 78

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source=pdf_text observed=2026-08-06T17:57:08.426907Z digest=sha256:6505989e254a7520b12bdcd4f0b6efa8a4aa625f276ed076197919501423d803

Observation 969fff06-ee99-4e45-8208-aac42dae3809 · outbound

This paper cites Application of generative artificial intelligence (GenAI) in language teach- ing and learning: A scoping literature review.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Application of generative artificial intelligence (GenAI) in language teach- ing and learning: A scoping literature review

Reference 79

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source=pdf_text observed=2026-08-06T17:57:08.431098Z digest=sha256:44d8c9c67506bfed3c0cef6852295f3d89a70ff1f2f6985bfc65bc80a5185155

Observation 62497cf0-8f7a-4ddd-a086-3649b66723b3 · outbound

This paper cites Emergent Multi-Agent Communication in the Deep Learning Era.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Emergent Multi-Agent Communication in the Deep Learning Era

Reference 80

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Observation 845ff234-b8b0-445a-90e2-556444a3d382 · outbound

This paper cites Backpropagation applied to handwritten zip code recog- nition.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Backpropagation applied to handwritten zip code recog- nition

Reference 81

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source=pdf_text observed=2026-08-06T17:57:08.439253Z digest=sha256:3cddcf37ab5588861acd53f489be5147f9a819f32b6cfb0be19e4f2d5cbcd6ea

Observation a1748ec4-eb34-4901-b21b-3b780acdb33e · outbound

This paper cites Emergent Translation in Multi-Agent Communication.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Emergent Translation in Multi-Agent Communication

Reference 82

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source=pdf_text observed=2026-08-06T17:57:08.443390Z digest=sha256:6bf8467a3eaf9e3438c42ffbb4a370500a97cf8ab9f18843d8c31eb77bc7aefb

Observation 7e8cb6cc-67ea-4611-8709-8bb01e62e683 · outbound

This paper cites Guided policy search.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Guided policy search

Reference 83

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Observation 9ebfad2e-df40-4bb9-b029-87e5af283682 · outbound

This paper cites Hierarchical planning through goal-conditioned offline reinforcement learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Hierarchical planning through goal-conditioned offline reinforcement learning

Reference 84

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Observation 329f452a-6e11-4806-b408-03ff85fdad45 · outbound

This paper cites Adaptive iterative learning control for coordination of second- order multi-agent systems.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Adaptive iterative learning control for coordination of second- order multi-agent systems

Reference 85

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source=pdf_text observed=2026-08-06T17:57:08.453699Z digest=sha256:a970327df7aab5c1919a39dc22010c35e6c24183d3ca529bc9a22a1abf4564b0

Observation 4b241d68-5e75-450d-9759-9ca1bfe176e8 · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 86

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source=pdf_text observed=2026-08-06T17:57:08.458037Z digest=sha256:80b8388e2c34bf2c0365178506b44b3ed49b7ae87ff3f8cff95615b338688db1

Observation d63427eb-a570-4a69-8893-fb1cb7153e0b · outbound

This paper cites RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 87

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Observation 4ddf6fec-b156-4b9b-8501-7d9b8f59c2ea · outbound

This paper cites Multi- agent game abstraction via graph attention neural network.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Multi- agent game abstraction via graph attention neural network

Reference 88

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Observation d5ad5a74-7f30-4bcd-93d0-04232c643192 · outbound

This paper cites A review of uncertainty for deep reinforcement learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective A review of uncertainty for deep reinforcement learning

Reference 89

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Observation 50590969-e092-4e61-9d47-a293efe1496d · outbound

This paper cites Multi-agent actor-critic for mixed cooperative-competitive environments.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Multi-agent actor-critic for mixed cooperative-competitive environments

Reference 90

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Observation 85cdbe7d-380b-4e60-a00d-1ecbae8d0f6d · outbound

This paper cites Jfp: Joint future prediction with interactive multi-agent modeling for autonomous driving.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Jfp: Joint future prediction with interactive multi-agent modeling for autonomous driving

Reference 91

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Observation f5d71691-64c1-4048-835c-aab0ea2216d4 · outbound

This paper cites Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

Reference 92

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source=pdf_text observed=2026-08-06T17:57:08.479427Z digest=sha256:add1bd4a6e3c1b3e6e6fba3d91ac8b992dd03ba6f6cd9bb82b831e54ae38c408

Observation 86c3296f-8a0b-4494-a216-c99c090eb661 · outbound

This paper cites Generate your coun- terfactuals: Towards controlled counterfactual generation for text.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Generate your coun- terfactuals: Towards controlled counterfactual generation for text

Reference 93

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Observation 967d34f2-379c-44df-968f-b47dced961f6 · outbound

This paper cites What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Reference 94

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Observation ae0b1977-1818-4b24-92df-e33a54894b01 · outbound

This paper cites Wedge: A multi- weather autonomous driving dataset built from generative vision-language models.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Wedge: A multi- weather autonomous driving dataset built from generative vision-language models

Reference 95

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Observation c87c7111-c16d-41ca-a84e-a7d663fdeec5 · outbound

This paper cites Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models

Reference 96

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source=pdf_text observed=2026-08-06T17:57:08.493621Z digest=sha256:a6975ebdcb1541efb64e7e13d60883a43b71f9e43569050efadec210ec066d00

Observation 93bfe875-d155-4c5e-b3ec-dbd5b94dce25 · outbound

This paper cites Independent reinforce- ment learners in cooperative markov games: a survey regarding coordination problems.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Independent reinforce- ment learners in cooperative markov games: a survey regarding coordination problems

Reference 97

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Observation c7916d12-dcb1-4332-92b9-d6207029d491 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Playing Atari with Deep Reinforcement Learning

Reference 98

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source=pdf_text observed=2026-08-06T17:57:08.501109Z digest=sha256:b0f03ef1b419baa07675b24b8e6c1955c61b2a6a5f6d3dccd1032e536c357ab5

Observation aff566c8-6b43-41e9-b5d0-0737073d5055 · outbound

This paper cites Model-based reinforcement learning: A survey.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Model-based reinforcement learning: A survey

Reference 99

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source=pdf_text observed=2026-08-06T17:57:08.505102Z digest=sha256:a83939337b13ed1665a53c24cdd8ced48fda1795fffb235c6c9728bd33978324

Observation 4bb209d4-1c66-40c6-bc57-8cb734718e51 · outbound

This paper cites ML-Plan: Automated machine learning via hierarchical planning.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective ML-Plan: Automated machine learning via hierarchical planning

Reference 100

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Pith citing papers

Observation a41ca731-8bb2-48b5-bb1e-3abcf01ac25b · inbound

Decision-Theoretic Safety Assessment of Persona-Driven Multi-Agent Systems in O-RAN cites this paper.

Decision-Theoretic Safety Assessment of Persona-Driven Multi-Agent Systems in O-RAN GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective

Reference 22

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T19:03:03.886581Z digest=sha256:b39f38c2a9c06deb347a6282b27bc4c10a739bbbab1873757cb5d8521c1fc893