Research map / Multi-agent systems and games / Cooperative multi-agent RL
PettingZoo: Gym for Multi-Agent Reinforcement Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| prune the random reward component caused by evader moves after pursuers (fix step order) | parameter-shared Ape-X DQN · pursuit | total reward: +22.03% | Helped |
| prune the random reward component | PPO · pursuit | total reward: +16.12% | Helped |
Closest papers by meaning
- POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding (ICLR 2025 · similarity 0.86)
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- FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning (ICML 2024 · similarity 0.86)
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- JaxMARL: Multi-Agent RL Environments and Algorithms in JAX (NeurIPS 2024 · similarity 0.85)
- HyperMARL: Adaptive Hypernetworks for Multi-Agent RL (NeurIPS 2025 · similarity 0.85)
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