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Paper Citation Record · LEDGER

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 63 inbound Pith citation observations for arXiv:2011.09533.

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

pith.paper-citation-record.v1
2011.09533 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 63 of 63 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:10:42.712252Z

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

0 of 0 outbound references displayed

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External citation measurements

185
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8463c1e6-1c4a-4b5e-8678-8e0ffa96a375 · inbound

Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications cites this paper.

Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 49

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source=pdf_text observed=2026-08-07T14:10:42.712252Z digest=sha256:3ea5a14722c8267a5ac6dc6d25531ef4c6ffdb3d1735f0b5d209ad2eac1dbe29

Observation 4fffc0d1-5f82-4660-9110-ca70ab555c5d · inbound

Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning cites this paper.

Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 6

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source=pdf_text observed=2026-08-07T13:26:21.357391Z digest=sha256:95132deae4fa786fbd104e87ae21871570dcda9c3fbe4c84ce89183c8bcae12d

Observation 151d4bf0-1dde-4c0e-aaa3-882ffcd8ca40 · inbound

Learned Controllers for Agile Quadrotors in Pursuit-Evasion Games cites this paper.

Learned Controllers for Agile Quadrotors in Pursuit-Evasion Games Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 9

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source=pdf_text observed=2026-08-07T11:20:17.289699Z digest=sha256:7604889a6bd6558f5860e181c290f536803f32721b162ccebbee62486ce47e94

Observation cc8230f2-a2e1-424a-b004-9d4ea9a10a05 · inbound

Ego-centric Learning of Communicative World Models for Autonomous Driving cites this paper.

Ego-centric Learning of Communicative World Models for Autonomous Driving Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 2009

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source=pdf_text observed=2026-08-07T05:27:42.322530Z digest=sha256:2f9eae8b0f3d9e079753be4cde1941f2a483102c73e1e3679f54cb5d6073a8ee

Observation 1cb38867-b96c-4486-8a22-c273d4b39341 · inbound

Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork cites this paper.

Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 7

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source=pdf_text observed=2026-08-07T04:21:10.128628Z digest=sha256:c1a23cd86f97db5253c7bf8c8ac8833ba07be2892861e38aa9cbf0aea5b3e5cc

Observation c7a71b39-099c-497a-b166-ee3f0ee49430 · inbound

Light Aircraft Game : Basic Implementation and training results analysis cites this paper.

Light Aircraft Game : Basic Implementation and training results analysis Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 2020

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source=pdf_text observed=2026-08-07T00:23:07.338517Z digest=sha256:de55a6a2982ee50950a45f5659273deed6f2a36cf1a5ec293926ab2ad9a9aa4b

Observation 7c8a6b96-3f52-49e1-8287-a1e886218b86 · inbound

MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning cites this paper.

MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 11

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source=pdf_text observed=2026-08-07T00:16:41.270716Z digest=sha256:d01271558e5c5be61a199df17138212be691456cd870ba7dd3efee11d9b4bade

Observation 10e44326-8fc5-4b40-84b8-3c1f2a12265b · inbound

Multi-Agent Reinforcement Learning for Inverse Design in Photonic Integrated Circuits cites this paper.

Multi-Agent Reinforcement Learning for Inverse Design in Photonic Integrated Circuits Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 14

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source=arxiv_source observed=2026-08-06T23:21:19.634849Z digest=sha256:be244718134b466e341501256f82cc9f37087e08f2803793aa5d55dd382d4f95

Observation 2fad4f2c-c997-4100-81cc-a901aa55b9d5 · inbound

Modeling Latent Partner Strategies for Adaptive Zero-Shot Human-Agent Collaboration cites this paper.

Modeling Latent Partner Strategies for Adaptive Zero-Shot Human-Agent Collaboration Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 4

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source=pdf_text observed=2026-08-06T19:36:24.037355Z digest=sha256:c23c44e5b11fff829eeca676418151fc4a07ac2e93fdcf9657f7d3179277dcd0

Observation 29ed48fb-af18-4bbb-bcec-f3f6ee44af59 · inbound

From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination cites this paper.

From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 2019

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source=pdf_text observed=2026-08-06T19:17:09.418866Z digest=sha256:7db673fb078cc36bd1da8fb133688ba84cc75b2e7f58c8b05dc904fd6ced3a16

Observation 2729afa7-3aae-44c5-8a06-02ff6f962091 · inbound

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments cites this paper.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 28

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source=pdf_text observed=2026-08-06T18:46:36.585985Z digest=sha256:3b06e6f8b88a7ab9cc4b002baa4d6c00cd24f103377e50ad1c7f1b6ae86b181e

Observation ed8b3a49-49a0-4982-8c8f-1ce125f74f43 · inbound

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective cites this paper.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 163

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source=pdf_text observed=2026-08-06T17:57:08.739276Z digest=sha256:7552ed7ef0ad7c2cc825c1ac473ddd9894660995e186af2d7a5e95fd9a22fba0

Observation 7e8f0393-2fad-4f5b-9c8a-e71f9b3cd339 · inbound

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review cites this paper.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 52

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source=pdf_text observed=2026-08-06T17:42:53.723048Z digest=sha256:5a53b0c2391250d63f97076594937ecc73d6b72fb1e33d886dfce9dd80a0b766

Observation 785fc717-1c9c-4fb2-8948-2fa9f696657d · inbound

Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems cites this paper.

Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 74

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source=pdf_text observed=2026-08-06T15:51:33.831087Z digest=sha256:52a6503e7365aa7ba6c23193ed5b04f68d24b47372f835cb3934e6e6952dfc11

Observation b99431d3-2252-4f03-b794-098f943e8cf2 · inbound

One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms cites this paper.

One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 7

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arxiv_id, observed 2026-05-19T04:32:03.586785Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-19T04:30:49.870610Z digest=sha256:a0802965b91b0ae4be64498476c87e42b6e82287b10d3399798cef6b279add1f

Observation d0491786-5116-4372-8068-9df78d2c8681 · inbound

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection cites this paper.

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 31

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source=pdf_text observed=2026-08-06T15:04:18.186263Z digest=sha256:08660a0a2e874e56d0693582d96f85d13b015f37ddf9598c3f3c79ef16b72677

Observation 641553b5-d867-47a2-8fd7-c31dfe4a22ff · inbound

Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning cites this paper.

Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 20

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source=pdf_text observed=2026-08-06T10:40:38.723696Z digest=sha256:3ae959a25e2824e1dfa6cb39cf2001b1638e51938b0a4bc6f6cb14d5aa67cd4d

Observation 40c7aafe-1818-47aa-bfd5-9d4235072655 · inbound

Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies cites this paper.

Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 5

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arxiv_id, observed 2026-05-19T01:06:57.382182Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T01:05:17.086399Z digest=sha256:3287e4cb5edd2ccb06f4fa26ea43f2db22ec0770bb9c7b3fe6c1bd35c72c8a9f

Observation fe83a0c0-68b9-41ed-9c36-27b5f677bcc3 · inbound

Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach cites this paper.

Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 5

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source=arxiv_source observed=2026-08-05T20:31:02.015643Z digest=sha256:112196575cf7491288078db180773c74c56e77f9c1bf8f26b813915524627110

Observation 0bc4c11f-ff7c-463c-8aba-3745abd36ad5 · inbound

SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control cites this paper.

SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 11

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source=arxiv_source observed=2026-08-05T15:18:51.513389Z digest=sha256:0444b6d2f210aac0f85b1bb9eab229a1489c1d4ad077dad6cfd56ef650d0ba73

Observation 6553f578-418f-4acb-ae10-16c3f6421f03 · inbound

cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending cites this paper.

cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 8

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source=arxiv_source observed=2026-08-05T14:49:53.119707Z digest=sha256:24379bd22bbe855bf6f78f1a319717d20280d2bb48a403810f534c987b08b537

Observation d6846655-e972-411a-8fde-568ab8c6d1f7 · inbound

Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration cites this paper.

Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 48

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source=pdf_text observed=2026-08-04T17:49:15.375927Z digest=sha256:724922cc229e008026665104c941e213d5b76157eecd300864e90a61724414a0

Observation 5c2ab09e-d822-4490-9eb9-f8159364714b · inbound

GLo-MAPPO: Multi-Agent Deep Reinforcement Learning for Energy-Efficient UAV-Assisted LoRa Networks cites this paper.

GLo-MAPPO: Multi-Agent Deep Reinforcement Learning for Energy-Efficient UAV-Assisted LoRa Networks Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 48

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arxiv_id, observed 2026-05-18T15:01:32.085928Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T14:58:06.782237Z digest=sha256:495c43b5542f0980de5f6e9e1c59943b298088d7e261a76a6a01f48e09e42a2c

Observation 5f4b886c-90d3-46f5-a56e-cb66cfc3f0d8 · inbound

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning cites this paper.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 4

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source=pdf_text observed=2026-08-04T00:21:00.300581Z digest=sha256:16c57cf6f431d28e2436d1b863652676c46f33263b3571e99178ac27990fd31e

Observation 6615f35e-7150-4c6a-9042-b68e5943707f · inbound

CoRL-MPPI: Enhancing MPPI With Learnable Behaviours For Efficient And Provably-Safe Multi-Robot Collision Avoidance cites this paper.

CoRL-MPPI: Enhancing MPPI With Learnable Behaviours For Efficient And Provably-Safe Multi-Robot Collision Avoidance Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 37

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source=pdf_text observed=2026-08-03T22:45:05.341279Z digest=sha256:8b50e6818c27afe4795750e4cc9e6ec3dea754a6c496caf35c94cb1133de593b

Observation b6741e5a-2b25-4477-aa15-168156f3a141 · inbound

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic cites this paper.

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 9

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arxiv_id, observed 2026-05-16T09:50:49.388973Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T09:47:47.051969Z digest=sha256:b36fe48a3ec49a72a324e68be6a6fe68edc671147a6fc27c246b273ac5848a78

Observation 24fd116b-8dd5-454b-8514-0d1b368a94c2 · inbound

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic cites this paper.

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 9

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source=pdf_text observed=2026-08-03T06:46:38.714757Z digest=sha256:64c7b4dc8ce76b66a6fdc5b838b305447995d01909836e5a502f103a2ed98090

Observation b14eaffc-0966-4b5b-9580-29998a472d35 · inbound

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning cites this paper.

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 6

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arxiv_id, observed 2026-05-25T07:45:29.811527Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T07:41:48.634351Z digest=sha256:de07545de77f692448e0164acf373d880344be3b846d03e3cbb8be7406d3a83d

Observation 83b20bd7-556a-4f4e-b745-9a534703513d · inbound

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning cites this paper.

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 6

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source=pdf_text observed=2026-08-03T05:37:38.423388Z digest=sha256:a85f1c45261763edee8a3b27cfad5889927643552c6e7e629466256dd96c663b

Observation b05aa95b-e6cf-4be0-823d-dde141e83ccf · inbound

Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies cites this paper.

Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 14

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source=pdf_text observed=2026-08-02T22:04:22.549456Z digest=sha256:49b9b3b0ae3d179b0635394a92cc6e53abdf40f02fd343476b51cec976d24f51

Observation 60db8146-90a8-4062-8d0a-46492b782f67 · inbound

Dynamics of Cognitive Heterogeneity: Investigating Behavioral Biases in Multi-Stage Supply Chains with LLM-Based Simulation cites this paper.

Dynamics of Cognitive Heterogeneity: Investigating Behavioral Biases in Multi-Stage Supply Chains with LLM-Based Simulation Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 39

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arxiv_id, observed 2026-05-10T06:11:20.592675Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T06:06:48.422940Z digest=sha256:c613b9685f60f2da5d120cd3509ac9d494f7249024b916024e0214270021e3cc

Observation e038e97b-2a29-45bf-bc6e-7a28b318c74a · inbound

A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication cites this paper.

A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 3

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arxiv_id, observed 2026-05-11T23:31:15.706553Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T16:51:52.921851Z digest=sha256:682f2bd6de32e3b05d0019a783a96dedb6fc9d8ea522833e57c56c07e103d855

Observation 6c4fe843-9dfb-4b72-9bd5-19ac74c87580 · inbound

Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning cites this paper.

Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 63

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arxiv_id, observed 2026-05-09T05:45:22.780858Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T19:35:39.458735Z digest=sha256:8d80f7f0b5db05b6de6bd12e6c27fe7174aa4eb4020d727523dccff2d6c52ff0

Observation 4290e2d3-909c-4b6a-b7ed-e1870042122d · inbound

Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces cites this paper.

Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 11

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arxiv_id, observed 2026-05-09T06:15:37.820927Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T18:44:27.685266Z digest=sha256:5f033b079c2163a473089f428aa53e7ee985755c701cb88756ee74848cc8dcb2

Observation 20c57cab-65df-4d84-8218-e63f0fbf767d · inbound

Structural Equivalence and Learning Dynamics in Delayed MARL cites this paper.

Structural Equivalence and Learning Dynamics in Delayed MARL Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:46:07.709119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T17:14:48.299305Z digest=sha256:7b1b9d78b801879c0f555639726f350b7a587ed59ff73bc4adff111da5d038bd

Observation c38b668d-a53e-4f24-a17a-6a7b421a95c9 · inbound

Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game cites this paper.

Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:21:09.388718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T16:11:38.561963Z digest=sha256:bbb2c8ad60d012868d58a7dc66028b13731d32deec7cb0d318a27c815c3b7aae

Observation 75138870-8272-484a-9218-698e54175b46 · inbound

Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game cites this paper.

Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T01:56:15.147649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T01:54:01.596020Z digest=sha256:4c68ebe1853f18fa340003d47bc03f105a9035ca4bcbdd3ec8b0284e4fc0aa9f

Observation fc339639-4794-43a5-abd6-f2ba17a25203 · inbound

Randomness is sometimes necessary for coordination cites this paper.

Randomness is sometimes necessary for coordination Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:57.900648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T01:01:38.215613Z digest=sha256:41a025109e80146904c68a9e3cab37aa28bbd9d8babb813c73d136585b417194

Observation c634d3e0-8393-4da6-b01f-ec8b39e57407 · inbound

SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning cites this paper.

SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:56:27.404219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T01:31:19.576223Z digest=sha256:a660e282f7ef35425c95501ed0fbeba485c12fecc406c6c8724d9568f317956d

Observation 6de7d519-8b61-411f-84ff-47e02ec75580 · inbound

SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning cites this paper.

SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T22:39:10.758260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T22:34:46.440511Z digest=sha256:5595c02b6b49511dd6e4873c5f244a9f89ca324c89050fab0dd0edf97238e183

Observation 84cb4efb-6fab-4b5b-a452-3716599bcc6f · inbound

Rethinking Ratio-Based Trust Regions for Policy Optimization in Multi-Agent Reinforcement Learning cites this paper.

Rethinking Ratio-Based Trust Regions for Policy Optimization in Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:51:27.893046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T03:56:28.447136Z digest=sha256:c804e03917a9a1c8e9cdee2ff053cf1aac7882dee0f6691b56433464ca7be616

Observation e698a5a8-1cdf-4f2f-b70c-e82f62831d62 · inbound

Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning cites this paper.

Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:36:26.498975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T05:07:19.011782Z digest=sha256:e9feb321dc86eeb6dd7206123dd9757f2ffc908bb2189eab10f589a0f8ad91c2

Observation a5ad4a25-8ea7-4128-80c7-4f3953a11455 · inbound

Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning cites this paper.

Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T03:27:11.260747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T03:27:04.676218Z digest=sha256:f25c76230f394f27686f0a97c007e799d8a74a2b24f9023e70fde08567f7e97c

Observation a1ff86c5-aba8-4698-a5f5-b696f6578a49 · inbound

Shaping Zero-Shot Coordination via State Blocking cites this paper.

Shaping Zero-Shot Coordination via State Blocking Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T07:42:30.236738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T07:42:23.260464Z digest=sha256:fc698948cb046477ba0f65769dce34a70760cd73183213b58c32907d0281c68b

Observation f3a0ce6f-4c6b-4c7a-8d67-989fce7a2aa5 · inbound

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

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 136

Resolution
verified exact
arxiv_id, observed 2026-06-30T22:15:05.787678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T22:11:35.277901Z digest=sha256:f2f85dffdfef2a2ac647b6da74827fc9553f67fcddc6d6da6ed705d764926cd8

Observation 47dda601-d95f-42e7-995d-3a8ec4c1a790 · inbound

GAE Falls Short in Imperfect-Information Self-Play Reinforcement Learning cites this paper.

GAE Falls Short in Imperfect-Information Self-Play Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T07:53:10.038170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T07:50:09.840762Z digest=sha256:f6ab09fe7d532220a7a549d6b75f79299c2a5fe9d2bc7a5ab3fa596ff607fa82

Observation d3c6a7a1-6985-41e2-873f-bc226bbff538 · inbound

Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty cites this paper.

Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T08:19:52.576414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T08:16:06.101467Z digest=sha256:b87f7c3038380824ddc95089db9aab12ea018b9bd358f8ccb8774de6d32356cc

Observation e3754cdb-3ace-4344-8be2-5eb1a42be905 · inbound

Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty cites this paper.

Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T18:45:00.623817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T18:41:15.177901Z digest=sha256:cf94a3b45b10152cd4411d6b7bb857591f549cd98227302c291704c4f3b4e76d

Observation 83b36f02-d62c-4f55-8c06-2ed93933cb6c · inbound

ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning cites this paper.

ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-25T02:46:33.540674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-25T02:45:23.162374Z digest=sha256:dd88e2969c189526ab4af24b06ca6f0201f44e7b00755559e37badbd5ed588d5

Observation add93690-0dcf-4584-90f2-b6e882e146c9 · inbound

One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents cites this paper.

One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-25T04:10:19.524254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T04:08:01.237797Z digest=sha256:af139c30a40f5941aab9637dfbdd0fde7a24d742d488cac028865c59cdb21c31

Observation 25717b9d-3024-4e1f-be48-7c30eb504949 · inbound

Benchmarking Open-Ended Multi-Agent Coordination in Language Agents cites this paper.

Benchmarking Open-Ended Multi-Agent Coordination in Language Agents Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T22:07:25.850015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T19:18:56.039587Z digest=sha256:c1b8217e0c15e3b0c7b5a17fc5d199ac0a8fa85af1a29a9b9ca49fe3a2c93b4a

Observation adc1b065-e8ad-42f1-a495-a8b85f0b62f7 · inbound

Uncertainty-Aware Motion Planning for Autonomous Driving in Mixed Traffic Environment cites this paper.

Uncertainty-Aware Motion Planning for Autonomous Driving in Mixed Traffic Environment Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T01:47:31.271184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T16:20:28.917237Z digest=sha256:1b5759fa03fe9e3a1d0084cd92f0696873639c508434cad53af917ae488cbe8c

Observation f258d79e-a570-4c29-b562-06bafb526b94 · inbound

$\alpha$-fair heterogeneous agent reinforcement learning cites this paper.

$\alpha$-fair heterogeneous agent reinforcement learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-27T05:20:35.875559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T05:15:10.298871Z digest=sha256:d35b0c03c51e23dfbe9b37909cc2f8b7cdb92375fcba17fe4fbf81cd86c6d56e

Observation 0b2e67d2-63d4-4938-9fee-6a1bfda13a8b · inbound

Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning cites this paper.

Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-13T07:38:02.368884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T07:38:02.368884Z digest=sha256:fedf3c0ad2db35eaf34193ef53776e67bcfd973a78b28e71aefa432c0a953cee

Observation ef5355c4-7fd3-44a2-91fb-08055c8b5910 · inbound

Low Variance Trust Region Optimization with Independent Actors and Sequential Updates in Cooperative Multi-agent Reinforcement Learning cites this paper.

Low Variance Trust Region Optimization with Independent Actors and Sequential Updates in Cooperative Multi-agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:30:07.596579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-25T21:17:28.832301Z digest=sha256:a2c3696383125f5883bb4a710c4916f82bbf46e82b4775917dbed669d30e3744

Observation 347de482-8002-400c-83e8-a35140fdc7c7 · inbound

HiComm: Hierarchical Communication for Multi-agent Reinforcement Learning cites this paper.

HiComm: Hierarchical Communication for Multi-agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T08:04:28.210847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T07:58:50.823587Z digest=sha256:995e8d5cfc5dc032d65a1e941621555878c0cddae80404d110e3042a43f29b9e

Observation 2d7aaac3-d058-4123-9638-4b946932fc9f · inbound

HiComm: Hierarchical Communication for Multi-agent Reinforcement Learning cites this paper.

HiComm: Hierarchical Communication for Multi-agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T20:57:22.693570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T20:54:45.339382Z digest=sha256:33fbeb18d45a9b819e9d324741f1741ccb7c9483b20cddfd6fef58f6ea9d1faf

Observation cfec2997-ff53-495a-abba-cdb0ea09d976 · inbound

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection cites this paper.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T00:56:24.158913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T00:50:38.051501Z digest=sha256:25812957078df6f4661e4e248080ea6378641c997ac0c6ea3f93e4e226fd9cb6

Observation 779a09df-d05f-4cf1-a990-836252a614ad · inbound

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning cites this paper.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 61

Resolution
unresolved
no resolver link, observed 2026-07-13T03:08:01.590659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:08:01.590659Z digest=sha256:b5458c4ce06b192264de5df11ab6cf37e3dc1779ce4371e7a92b3fb94c1edd74

Observation 4c22faf1-3755-4a3d-93d9-02b132b4cc65 · inbound

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents cites this paper.

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T04:50:33.029683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:50:33.029683Z digest=sha256:83a7c4928e43f7157d2771db443449b18092dc664c973117cf012a5a945a20cf

Observation dfb80bfe-04ff-4c44-bc48-6d234cb14935 · inbound

Aggregate in the Advantage, Not the Ratio: A Canonical-Form Analysis of Cooperative Multi-Agent Policy Optimization cites this paper.

Aggregate in the Advantage, Not the Ratio: A Canonical-Form Analysis of Cooperative Multi-Agent Policy Optimization Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T16:42:02.462350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:42:02.462350Z digest=sha256:2a611780ee34fbfb3874187da4fbe3800df2621b41182f30fd0a10ad8b7f7aa7

Observation bd66d22c-d191-46c2-ada4-64c274546c7d · inbound

Dreamer-CPC: Message Learning with World Models for Decentralized Multi-agent Reinforcement Learning cites this paper.

Dreamer-CPC: Message Learning with World Models for Decentralized Multi-agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T11:44:45.826996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:44:45.826996Z digest=sha256:9f32fa1e3d91d97db80d7e830862efdf6e8bec7bd772d565a7f878b46c7460a5

Observation de330224-ef15-4bcc-8a3e-3386950808e0 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T15:25:39.361593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:25:39.361593Z digest=sha256:51d54f3c9f70ebb7f604882bdf27e5d9a7d7f1a665a57b733f230d7170924b01