83 citations · 85 across the 3 of their papers we have counts for
3 papers
cs.RO2023★ 83 cited
Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation
Wenhui Huang, Yanxin Zhou, Xiangkun He +1
Despite some successful applications of goal-driven navigation, existing deep reinforcement learning (DRL)-based approaches notoriously suffers from poor data efficiency issue. One…
cs.RO2022
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning
Jingda Wu, Wenhui Huang, Niels de Boer +3
Decision-making is critical for lane change in autonomous driving. Reinforcement learning (RL) algorithms aim to identify the values of behaviors in various situations and thus the…
cs.LG2022★ 2 cited
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.…