Diverse Priors for Deep Reinforcement Learning

Chenfan Weng, Zhongguo Li

In Reinforcement Learning (RL), agents aim at maximizing cumulative rewards in a given environment. During the learning process, RL agents face the dilemma of exploitation and expl…