Abstract: Value-based methods play a fundamental role in Markov decision processes (MDPs) and reinforcement learning (RL). In this paper, we present a unified control-theoretic framework for analyzing ...

Abstract: In this paper, we present new highly efficient fourth-order optimal families of Chebyshev-Halley type methods free from second-order derivative. In terms of computational cost, each member ...