Policy Distillation and Value Matching in Multiagent Reinforcement Learning

15 Mar 2019Samir WadhwaniaDong-Ki KimShayegan OmidshafieiJonathan P. How

Multiagent reinforcement learning algorithms (MARL) have been demonstrated on complex tasks that require the coordination of a team of multiple agents to complete. Existing works have focused on sharing information between agents via centralized critics to stabilize learning or through communication to increase performance, but do not generally look at how information can be shared between agents to address the curse of dimensionality in MARL... (read more)

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