Multi-Agent Adversarial Inverse Reinforcement Learning

30 Jul 2019Lantao YuJiaming SongStefano Ermon

Reinforcement learning agents are prone to undesired behaviors due to reward mis-specification. Finding a set of reward functions to properly guide agent behaviors is particularly challenging in multi-agent scenarios... (read more)

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