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Phasic Policy Gradient

9 Sep 2020 • Karl Cobbe • Jacob Hilton • Oleg Klimov • John Schulman

We introduce Phasic Policy Gradient (PPG), a reinforcement learning framework which modifies traditional on-policy actor-critic methods by separating policy and value function training into distinct phases. In prior methods, one must choose between using a shared network or separate networks to represent the policy and value function... (read more)

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METHOD	TYPE
Entropy Regularization	Regularization
PPO	Policy Gradient Methods

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