13 citations · 17 across the 4 of their papers we have counts for
4 papers
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.…
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 (…
Safe Multi-Agent Reinforcement Learning through Decentralized Multiple Control Barrier Functions
Zhiyuan Cai, Huanhui Cao, Wenjie Lu +2
Multi-Agent Reinforcement Learning (MARL) algorithms show amazing performance in simulation in recent years, but placing MARL in real-world applications may suffer safety problems.…
ConvGRU in Fine-grained Pitching Action Recognition for Action Outcome Prediction
Tianqi Ma, Lin Zhang, Xiumin Diao +1
Prediction of the action outcome is a new challenge for a robot collaboratively working with humans. With the impressive progress in video action recognition in recent years, fine-…