Opponent Modeling in Deep Reinforcement Learning

18 Sep 2016 He He Jordan Boyd-Graber Kevin Kwok Hal Daumé III

Opponent modeling is necessary in multi-agent settings where secondary agents with competing goals also adapt their strategies, yet it remains challenging because strategies interact with each other and change. Most previous work focuses on developing probabilistic models or parameterized strategies for specific applications... (read more)

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