Quasi Newton Temporal Difference Learning

Arash Givchi, Maziar Palhang

Abstract: Fast convergent and computationally inexpensive policy evaluation is an essential part of reinforcement learning algorithms based on policy iteration. Algorithms such as LSTD, LSPE, FPKF and NTD, h...