Universal Policies to Learn Them All

24 Aug 2019Hassam Ullah SheikhLadislau Bölöni

We explore a collaborative and cooperative multi-agent reinforcement learning setting where a team of reinforcement learning agents attempt to solve a single cooperative task in a multi-scenario setting. We propose a novel multi-agent reinforcement learning algorithm inspired by universal value function approximators that not only generalizes over state space but also over a set of different scenarios... (read more)

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