Second-Order Actor-Critic Methods: Treating Actors as Quasi-Stationary Agents
German researchers have just cracked open a new frontier in reinforcement learning—specifically, a second-order Actor-Critic method for discounted Markov Decision Processes (MDPs) that treats actors as quasi-stationary, potentially revolutionizing how ... Read More