The StarCraft Multi-Agent Challenge | Paper Citation Record

Observation 39e91012-e2a6-485f-b63d-344279a0fbc2 · inbound

Arena: a toolkit for Multi-Agent Reinforcement Learning cites this paper.

Arena: a toolkit for Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-24T18:36:19.039203Z

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Observation 284ff8e2-15cf-4a6a-bf1c-96c88f797993 · inbound

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning cites this paper.

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:18:44.775808Z

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Observation 0eb12ab9-d1e3-4523-9fa6-f5f09fd462bc · inbound

Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning cites this paper.

Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:25:20.389635Z

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Observation b5b26b8c-dd7d-4921-ac1f-8fa888b00e75 · inbound

Double Distillation Network for Multi-Agent Reinforcement Learning cites this paper.

Double Distillation Network for Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 12

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Observation 43b7a1ab-eb22-4dd8-92f6-0e5c6ad147e6 · inbound

Learning from Active Human Involvement through Proxy Value Propagation cites this paper.

Learning from Active Human Involvement through Proxy Value Propagation The StarCraft Multi-Agent Challenge

Reference 42

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Observation 5e9f1047-0c1b-4787-80cc-b805414b23a1 · inbound

Optimistic {\epsilon}-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning cites this paper.

Optimistic {\epsilon}-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T04:17:30.922080Z

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Observation 02cc4699-4e89-4fc7-8b34-6dc68c7969ea · inbound

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication cites this paper.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication The StarCraft Multi-Agent Challenge

Reference 31

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Observation 791eaea7-6b6f-48b7-b47a-9166fc34e487 · inbound

An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks cites this paper.

An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks The StarCraft Multi-Agent Challenge

Reference 43

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Observation 257e8abb-3686-4428-a0ae-01de21d44260 · inbound

Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning cites this paper.

Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning The StarCraft Multi-Agent Challenge

Reference 29

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Observation c1ee0937-98a4-4b67-8e05-ba468c39f13a · inbound

Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners cites this paper.

Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners The StarCraft Multi-Agent Challenge

Reference 41

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Observation 3457c812-1931-411a-8efd-88b8c4daf435 · inbound

AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit cites this paper.

AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit The StarCraft Multi-Agent Challenge

Reference 22

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Observation 69770212-85d2-4c43-9cde-adfd7935c680 · inbound

Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs cites this paper.

Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs The StarCraft Multi-Agent Challenge

Reference 22

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Observation 92c7db2b-d470-4bae-89d4-e589f727fc66 · inbound

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

Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications The StarCraft Multi-Agent Challenge

Reference 55

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Observation a06817dc-94c0-40e9-b3b1-aced4a8a7c3e · inbound

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games cites this paper.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games The StarCraft Multi-Agent Challenge

Reference 81

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Observation e963249d-7e11-47ae-b019-9e3359cf0bd2 · inbound

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning cites this paper.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:12.878586Z

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Observation afac9e65-3dd0-4a7c-a5a1-7f4bb1fad6d0 · inbound

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments cites this paper.

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments The StarCraft Multi-Agent Challenge

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T11:57:16.298923Z

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Observation ecc5c207-bda1-405e-96f9-fc50c19aaaeb · inbound

Overcoming Environmental Meta-Stationarity in MARL via Adaptive Curriculum and Counterfactual Group Advantage cites this paper.

Overcoming Environmental Meta-Stationarity in MARL via Adaptive Curriculum and Counterfactual Group Advantage The StarCraft Multi-Agent Challenge

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T11:12:15.527732Z

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Observation 40197884-7218-4cbc-9eda-ab5aeab03682 · inbound

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

Light Aircraft Game : Basic Implementation and training results analysis The StarCraft Multi-Agent Challenge

Reference 9

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Observation fe880bbb-6615-47ed-b8f3-1c3c36d30eb5 · inbound

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

MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 36

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Observation a18f12c5-0726-4c6e-8f19-7a0886f2bcf2 · inbound

Focusing Influence Mechanism for Multi-Agent Reinforcement Learning cites this paper.

Focusing Influence Mechanism for Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T07:17:08.324849Z

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Observation bc81f89e-a19b-4baf-ac9f-ab4709027df4 · inbound

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning cites this paper.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 20

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Observation 3724e73d-6be2-4af4-8957-7a144c55dbcc · inbound

Zero-Incentive Dynamics: a look at reward sparsity through the lens of unrewarded subgoals cites this paper.

Zero-Incentive Dynamics: a look at reward sparsity through the lens of unrewarded subgoals The StarCraft Multi-Agent Challenge

Reference 19

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Observation 79a94b4d-7fc6-4bd3-a3b5-763891662f2d · 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 The StarCraft Multi-Agent Challenge

Reference 25

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Observation 48c7d419-b193-43aa-9759-d9236b8224f5 · inbound

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning cites this paper.

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 2019

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Observation 1ba737ca-6aef-4d50-b7e0-b265ad8f5dea · inbound

StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley cites this paper.

StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley The StarCraft Multi-Agent Challenge

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:23.443674Z

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Observation c8538fe2-3663-4873-becf-c54e88cdf54f · 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 The StarCraft Multi-Agent Challenge

Reference 132

Resolution: unresolved; no resolver link, observed 2026-08-06T17:57:08.618710Z

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Observation e9bd22fd-2bb8-446d-990b-08be171f2651 · inbound

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

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review The StarCraft Multi-Agent Challenge

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:56.131650Z

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Observation ef66e1c3-d6dc-4a40-a18f-1987bb5038a1 · inbound

Assistax: A Multi-Agent Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics cites this paper.

Assistax: A Multi-Agent Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics The StarCraft Multi-Agent Challenge

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T12:38:48.099267Z

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Observation 600f0899-3509-4790-b3be-85fc39f1eaa4 · inbound

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

Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T10:40:38.849091Z

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Observation 0fb317f2-1174-470a-a596-89e4fb743e01 · inbound

SC2Arena and StarEvolve: Benchmark and Self-Improvement Framework for LLMs in Complex Decision-Making Tasks cites this paper.

SC2Arena and StarEvolve: Benchmark and Self-Improvement Framework for LLMs in Complex Decision-Making Tasks The StarCraft Multi-Agent Challenge

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T20:30:30.115627Z

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Observation 3c993876-5d60-4289-a74a-7c76678fc352 · 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 The StarCraft Multi-Agent Challenge

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T14:49:53.303698Z

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Observation 5306b4e4-2b89-4618-b7ec-3ee871a64e7c · inbound

A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games cites this paper.

A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games The StarCraft Multi-Agent Challenge

Reference 46

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Observation dae82299-ddee-404e-9759-ccb29770d2fb · inbound

PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments cites this paper.

PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments The StarCraft Multi-Agent Challenge

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T23:58:45.783516Z

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Observation 96a1ab45-e253-4f3b-8e81-698add98763f · 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 The StarCraft Multi-Agent Challenge

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T17:49:15.036493Z

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Observation 2244432f-dd46-46f0-81db-08e69517363e · inbound

Fully Decentralized Cooperative Multi-Agent Reinforcement Learning is A Context Modeling Problem cites this paper.

Fully Decentralized Cooperative Multi-Agent Reinforcement Learning is A Context Modeling Problem The StarCraft Multi-Agent Challenge

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:16:32.282503Z

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Observation c6b7d9f4-8577-469a-bbbc-eaf44d491776 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory The StarCraft Multi-Agent Challenge

Reference 106

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:13:15.710370Z

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Observation 0787dc86-5d0d-4bc9-a240-30d91f99c5ac · 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 The StarCraft Multi-Agent Challenge

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:45:29.787490Z

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Observation d0261826-d566-40ab-8471-3e1d8d24f236 · 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 The StarCraft Multi-Agent Challenge

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-03T05:37:38.464277Z

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Observation 998ad793-1996-41c2-813e-3345858c916a · inbound

Value-Guidance MeanFlow for Offline Multi-Agent Reinforcement Learning cites this paper.

Value-Guidance MeanFlow for Offline Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:05:58.890142Z

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Observation 86872182-772a-4be0-a1e8-ee08bae212b7 · inbound

Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning cites this paper.

Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:41:01.310875Z

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Observation 9331e6ad-6ac9-4f07-a09a-3efc9299d84f · inbound

Superminds Test: Actively Evaluating Collective Intelligence of Agent Society via Probing Agents cites this paper.

Superminds Test: Actively Evaluating Collective Intelligence of Agent Society via Probing Agents The StarCraft Multi-Agent Challenge

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:08.787056Z

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Observation 2a7b9eee-34b2-4caa-ab47-d3ff6bd9e092 · inbound

A High-Throughput Compute-Efficient POMDP Hide-And-Seek-Engine (HASE) for Multi-Agent Operations cites this paper.

A High-Throughput Compute-Efficient POMDP Hide-And-Seek-Engine (HASE) for Multi-Agent Operations The StarCraft Multi-Agent Challenge

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:36:26.196097Z

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Observation 24d67899-6ecb-427b-9f4f-d3a376f8c767 · inbound

CoFlow: Coordinated Few-Step Flow for Offline Multi-Agent Decision Making cites this paper.

CoFlow: Coordinated Few-Step Flow for Offline Multi-Agent Decision Making The StarCraft Multi-Agent Challenge

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:56:07.283260Z

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Observation fde79c3c-229b-4d17-92da-b7e8025aef56 · inbound

CoFlow: Coordinated Few-Step Flow for Offline Multi-Agent Decision Making cites this paper.

CoFlow: Coordinated Few-Step Flow for Offline Multi-Agent Decision Making The StarCraft Multi-Agent Challenge

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:27:29.622030Z

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Observation caf11c4b-3005-45a3-9645-5209139721e8 · inbound

CoFlow: Coordinated Few-Step Flow for Offline Multi-Agent Decision Making cites this paper.

CoFlow: Coordinated Few-Step Flow for Offline Multi-Agent Decision Making The StarCraft Multi-Agent Challenge

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:29:28.805783Z

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Observation 3141423a-4945-4eac-bc25-b40284f0b65b · inbound

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization cites this paper.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization The StarCraft Multi-Agent Challenge

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T00:51:14.843828Z

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Observation d5b27676-c461-4702-b8d7-452b5b790a6f · 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 The StarCraft Multi-Agent Challenge

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:56:27.332574Z

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Observation 6a77c3c6-f53b-4096-a534-22edce3e9223 · 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 The StarCraft Multi-Agent Challenge

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T22:39:10.823818Z

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Observation e2300159-f291-4617-a1de-5847ee34bd17 · inbound

Beyond the All-in-One Agent: Benchmarking Role-Specialized Multi-Agent Collaboration in Enterprise Workflows cites this paper.

Beyond the All-in-One Agent: Benchmarking Role-Specialized Multi-Agent Collaboration in Enterprise Workflows The StarCraft Multi-Agent Challenge

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:37.826663Z

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Observation 91b12c73-6ffd-4515-85f2-e0d76eb6bb4f · inbound

Beyond Partner Diversity: An Influence-Based Team Steering Framework for Zero-Shot Human-Machine Teaming cites this paper.

Beyond Partner Diversity: An Influence-Based Team Steering Framework for Zero-Shot Human-Machine Teaming The StarCraft Multi-Agent Challenge

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-19T15:27:38.640395Z

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Observation 88322232-2290-4bed-b9e5-7ea08614a113 · inbound

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning cites this paper.

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:23:16.763125Z

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Observation cd91a27e-7eb2-4d1f-b01f-796541f7b85f · inbound

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning cites this paper.

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:55:00.840620Z

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Observation fb35782f-56fa-4cca-a410-c52663e1974c · inbound

Randomized Advantage Transformation (RAT): Computing Natural Policy Gradients via Direct Backpropagation cites this paper.

Randomized Advantage Transformation (RAT): Computing Natural Policy Gradients via Direct Backpropagation The StarCraft Multi-Agent Challenge

Reference 128

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:48:17.512475Z

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Observation 2b55a951-c3d2-470f-a251-26011fb763fa · inbound

PIMbot: A Self-Adaptive Attack Framework for Adversarial Manipulation of Multi-Robot Reinforcement Learning cites this paper.

PIMbot: A Self-Adaptive Attack Framework for Adversarial Manipulation of Multi-Robot Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:26:38.686813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e6de946c-ea2d-4667-b43e-a097b14e3954 · inbound

Episodic Memory Temporal Consistency for Cooperative Multi-Agent Reinforcement Learning cites this paper.

Episodic Memory Temporal Consistency for Cooperative Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:26:45.890958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7af2a22e-5a59-4af2-a01b-8dc27c6a6d73 · inbound

Phi-Actor-Critic: Steering General-Sum Games to Pareto-Efficient Correlated Equilibria cites this paper.

Phi-Actor-Critic: Steering General-Sum Games to Pareto-Efficient Correlated Equilibria The StarCraft Multi-Agent Challenge

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T08:47:50.460561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8bc1d099-97b3-445c-84d7-48b9a387282c · inbound

CCKS: Consensus-based Communication and Knowledge Sharing cites this paper.

CCKS: Consensus-based Communication and Knowledge Sharing The StarCraft Multi-Agent Challenge

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:48:20.891538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 174f807c-1309-479d-825b-eb1a14661109 · inbound

TRIDENT: Breaking the Hybrid-Safety-Physics Coupling for Provably Safe Multi-Agent Reinforcement Learning cites this paper.

TRIDENT: Breaking the Hybrid-Safety-Physics Coupling for Provably Safe Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:18:54.942471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e7571810-32ff-4db3-b13b-c10dd098412a · inbound

ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning cites this paper.

ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:20:00.541732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9395ea3d-2d17-4909-b2b8-ddebff0f6c08 · 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 The StarCraft Multi-Agent Challenge

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:30:07.614931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b8c8b35-de31-45c9-b704-4af13e4c561e · inbound

Play Like Champions: Counterfactual Feedback Generation in Latent Space cites this paper.

Play Like Champions: Counterfactual Feedback Generation in Latent Space The StarCraft Multi-Agent Challenge

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T19:47:18.856152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f29c1eb2-9923-48e6-9b69-b4c50c397dd7 · inbound

Strategy-Following Multi-Agent Deep Reinforcement Learning Considering Control Strategies Provided to Other Agents cites this paper.

Strategy-Following Multi-Agent Deep Reinforcement Learning Considering Control Strategies Provided to Other Agents The StarCraft Multi-Agent Challenge

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T14:36:00.853580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7bac09c-82ec-40ea-aff7-408267d2403b · inbound

DungeonBench: A Benchmark for Rules-Rich Tactical Reasoning in Dungeons & Dragons Combat cites this paper.

DungeonBench: A Benchmark for Rules-Rich Tactical Reasoning in Dungeons & Dragons Combat The StarCraft Multi-Agent Challenge

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T04:15:06.067394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers