MODEL-BASED VERSUS MODEL-FREE RL In reinforcement learning, by looking at the big picture, there typically exist two types of algorithm: model-free, or model-based. Their common goal is to make the agent find the best policy to gain highest cumulative rewards in the given environments. Stacking interactions with environment, the agent can learn how to act, approximating the expected future rewar..

사색/인지과학적 사유 2021. 1. 1. 00:57