Can I read Diverse Exploration via Conjugate Policies for Policy Gradient Methods on EtoBox?

Diverse Exploration via Conjugate Policies for Policy Gradient Methods by Cohen, Andrew; Qiao, Xingye; Yu, Lei; Way, Elliot; Tong, Xiangrong is a scholarly article available to read on EtoBox.

What is Diverse Exploration via Conjugate Policies for Policy Gradient Methods about?

We address the challenge of effective exploration while maintaining good performance in policy gradient methods. As a solution, we propose diverse exploration (DE) via conjugate policies. DE learns and deploys a set of conjugate policies which can be conveniently generated as a byproduct of conjugate gradient descent. We provide both theoretical and empirical results showing the effectiveness of DE at achieving exploration, improving policy performance, and the advantage of DE over exploration by random policy perturbations.

Author

Cohen, Andrew; Qiao, Xingye; Yu, Lei; Way, Elliot; Tong, Xiangrong

Published

2019

Language

EN