Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning

Fei Feng, Ruosong Wang, Wotao Yin +2

Motivated by the prevailing paradigm of using unsupervised learning for efficient exploration in reinforcement learning (RL) problems [tang2017exploration,bellemare2016unifying], w…