Low-Variance Policy Gradient Estimation with World Models

Michal Nauman, Floris Den Hengst

In this paper, we propose World Model Policy Gradient (WMPG), an approach to reduce the variance of policy gradient estimates using learned world models (WM's). In WMPG, a WM is tr…