Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning

7 Sep 2019Wenjie ShiShiji SongCheng Wu

Maximum entropy deep reinforcement learning (RL) methods have been demonstrated on a range of challenging continuous tasks. However, existing methods either suffer from severe instability when training on large off-policy data or cannot scale to tasks with very high state and action dimensionality such as 3D humanoid locomotion... (read more)

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