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Found 4 papers, 1 papers with code
Robust Communicative Multi-Agent Reinforcement Learning with Active Defense
We propose an active defense strategy, where agents automatically reduce the impact of potentially harmful messages on the final decision.
Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help
Multi-agent reinforcement learning (MARL) has achieved great progress in cooperative tasks in recent years.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Low Entropy Communication in Multi-Agent Reinforcement Learning
Communication in multi-agent reinforcement learning has been drawing attention recently for its significant role in cooperation.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Robust Reinforcement Learning under model misspecification
Reinforcement learning has achieved remarkable performance in a wide range of tasks these days.
