Model-based Policy Search for Partially Measurable Systems

Fabio Amadio, Alberto Dalla Libera, Ruggero Carli +2

In this paper, we propose a Model-Based Reinforcement Learning (MBRL) algorithm for Partially Measurable Systems (PMS), i.e., systems where the state can not be directly measured,…