Projections for Approximate Policy Iteration Algorithms

Riad Akrour, Joni Pajarinen, Jan Peters, Gerhard Neumann

Abstract: Approximate policy iteration is a class of reinforcement learning (RL) algorithms where the policy is encoded using a function approximator and which has been especially prominent in RL with contin...