13 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery
Xiao Zhang, Hai Zhang, Hongtu Zhou +4
Safety is one of the main challenges in applying reinforcement learning to realistic environmental tasks. To ensure safety during and after training process, existing methods tend…
cs.AI2023★ 1 cited
Maneuver Decision-Making For Autonomous Air Combat Through Curriculum Learning And Reinforcement Learning With Sparse Rewards
Yu-Jie Wei, Hong-Peng Zhang, Chang-Qiang Huang
Reinforcement learning is an effective way to solve the decision-making problems. It is a meaningful and valuable direction to investigate autonomous air combat maneuver decision-m…
cs.AI2018★ 13 cited
Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making
Jingchu Liu, Pengfei Hou, Lisen Mu +2
Tactical driving decision making is crucial for autonomous driving systems and has attracted considerable interest in recent years. In this paper, we propose several practical comp…