Efficient Sample Reuse in Policy Gradients with Parameter-based Exploration

Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt +2

The policy gradient approach is a flexible and powerful reinforcement learning method particularly for problems with continuous actions such as robot control. A common challenge in…