Call for Papers Journal of Control Theory and Applications Special Issue on Approximate dynamic programming and reinforcement learning

摘要

Approximate dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain and nonconvex environments over time.