Variational Autoencoders for Opponent Modeling in Multi-Agent Systems

Multi-agent systems exhibit complex behaviors that emanate from the interactions of multiple agents in a shared environment. In this work, we are interested in controlling one agent in a multi-agent system and successfully learn to interact with the other agents that have fixed policies... (read more)

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