Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy

Proximal policy optimization and trust region policy optimization (PPO and TRPO) with actor and critic parametrized by neural networks achieve significant empirical success in deep reinforcement learning. However, due to nonconvexity, the global convergence of PPO and TRPO remains less understood, which separates theory from practice... (read more)

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METHOD TYPE
Entropy Regularization
Regularization
PPO
Policy Gradient Methods
TRPO
Policy Gradient Methods