OpenCodePapers

smac-on-smac-corridor

Multi-agent Reinforcement LearningSMAC
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PaperCodeMedian Win RateAverage ScoreModelNameReleaseDate
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games100.0MAPPO FP2021-03-02
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency✓ Link100ACE2022-11-29
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link95.420DDN2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link91.6219.68DIQL2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link90.4519.66DMIX2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link85.3419.47VDN2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link84.8719.42IQL2021-02-16
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning✓ Link81.2519.08DPLEX2023-06-04
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning✓ Link75.0018.73QPLEX2023-06-04
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link37.6115.07QMIX2021-02-16
The StarCraft Multi-Agent Challenge✓ Link1QMIX2019-02-11
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning✓ Link1QMIX2020-03-19
The StarCraft Multi-Agent Challenge✓ Link0IQL2019-02-11
The StarCraft Multi-Agent Challenge✓ Link0Heuristic2019-02-11
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