Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards

Rituraj Kaushik, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret

Abstract: The most data-efficient algorithms for reinforcement learning in robotics are model-based policy search algorithms, which alternate between learning a dynamical model of the robot and optimizing a ...