Tag function approximation

In the world of reinforcement learning, few algorithms have gained as much attention as SARSA (State-Action-Reward-State-Action). This on-policy algorithm is designed to learn optimal policies in Markov decision processes (MDPs). The recent research conducted by Shaofeng Zou, Tengyu Xu, and… Continue Reading →