Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration

Wenhui Huang, Cong Zhang, Jingda Wu +3

Massive practical works addressed by Deep Q-network (DQN) algorithm have indicated that stochastic policy, despite its simplicity, is the most frequently used exploration approach.…