Model-free Policy Learning with Reward Gradients

Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi +1

Despite the increasing popularity of policy gradient methods, they are yet to be widely utilized in sample-scarce applications, such as robotics. The sample efficiency could be imp…