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eess.SY2022
Safe Reinforcement Learning for a Robot Being Pursued but with Objectives Covering More Than Capture-avoidance
Huanhui Cao, Zhiyuan Cai, Hairuo Wei +3
Reinforcement Learning (RL) algorithms show amazing performance in recent years, but placing RL in real-world applications such as self-driven vehicles may suffer safety problems.…
eess.SY2021
A Dynamics Perspective of Pursuit-Evasion Games of Intelligent Agents with the Ability to Learn
Hao Xiong, Huanhui Cao, Lin Zhang +1
Pursuit-evasion games are ubiquitous in nature and in an artificial world. In nature, pursuer(s) and evader(s) are intelligent agents that can learn from experience, and dynamics (…