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Research map / Multi-agent systems and games / Cooperative multi-agent RL

Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming

ICLR 2022 · Multi-agent systems and games › Cooperative multi-agent RL · approach: Learned inter-agent communication · 2 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use InfoPG instead of MOAdecentralized cooperative MARL · Co-op Pongteam reward: -0.3 -> 0.127Helped
Use Adv. InfoPG instead of MOAdecentralized cooperative MARL · Co-op Pongteam reward: -0.3 -> 0.25Helped
Use InfoPG instead of MOAdecentralized cooperative MARL · Pistonballteam reward: 4.10 -> 7.47Helped
Use Adv. InfoPG instead of MOAdecentralized cooperative MARL · Pistonballteam reward: 4.10 -> 7.33Helped
Use InfoPG instead of MOAdecentralized cooperative MARL · Multiwalkerteam reward: 0.66 -> 3.56Helped
Use Adv. InfoPG instead of MOAdecentralized cooperative MARL · Multiwalkerteam reward: 0.66 -> 11.81Helped
Use InfoPG instead of MOAdecentralized cooperative MARL · StarCraft II 3Mteam reward: 2.78 -> 4.40Helped
Use Adv. InfoPG instead of MOAdecentralized cooperative MARL · StarCraft II 3Mteam reward: 2.78 -> 3.73Helped
Increase reasoning depth from one step to k=2 or k=3 (ablation)InfoPG · Co-op Pongteam rewardNo clear effect
Increase reasoning depth from one step to k=2 or k=3 (ablation)InfoPG · Pistonball and Multiwalkerteam rewardHelped
Replace InfoPG with Adv. InfoPG when a random fraudulent agent is present (ablation)Pistonball team · Pistonball fraudulent-agent experimentteam rewardHelped
Maximize MI without adapting to negative advantage in the presence of a random fraudulent agent (ablation)InfoPG and MOA · Pistonball fraudulent-agent experimentteam rewardHurt

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