Why do Policy Gradient Methods work so well in Cooperative MARL? Evidence from Policy Representation
In cooperative multi-agent reinforcement learning (MARL), due to its on-policy nature, policy gradient (PG) methods are typically believed to be less sample efficient than value decomposition (VD) methods, which are…
The “Auto-comments” tool gets a second breath
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