Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments.

John D. Martin, Brendan J. Englot

Abstract: In this paper, we consider the problem of learning robot control policies in heteroscedastic environments, whose noise properties vary throughout a robot’s state and action space. We consider reinf...