Policy Optimization Reinforcement Learning with Entropy Regularization

2 Dec 2019 Jingbin Liu Xinyang Gu Shuai Liu

Entropy regularization is an important idea in reinforcement learning, with great success in recent algorithms like Soft Q Network (SQN) and Soft Actor-Critic (SAC1). In this work, we extend this idea into the on-policy realm... (read more)

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Methods used in the Paper


METHOD TYPE
Experience Replay
Replay Memory
Entropy Regularization
Regularization
Dense Connections
Feedforward Networks
ReLU
Activation Functions
Adam
Stochastic Optimization
Soft Actor Critic
Policy Gradient Methods
PPO
Policy Gradient Methods