72 citations · 87 across the 7 of their papers we have counts for
7 papers
Learning-Based Multi-Stage Strategy for a Fixed-Wing Aircraft to Evade a Missile Detected at a Short Distance
Zhiguan Niu, Xiaochao Zhou, Hao Xiong
Missiles pose a major threat to aircraft in modern air combat. Advances in technology make them increasingly difficult to detect until they are close to the target and highly resis…
Non-cascaded Control Barrier Functions for the Safe Control of Quadrotors
Weifeng Zeng, Huanhui Cao, Wenjie Lu +1
Researchers have developed various cascaded controllers and non-cascaded controllers for the navigation and control of quadrotors in recent years. It is vital to ensure the safety…
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.…
DRLinFluids -- An open-source python platform of coupling Deep Reinforcement Learning and OpenFOAM
Qiulei Wang, Lei Yan, Gang Hu +5
We propose an open-source python platform for applications of Deep Reinforcement Learning (DRL) in fluid mechanics. DRL has been widely used in optimizing decision-making in nonlin…
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.…
Multi-robot Cooperative Object Transportation using Decentralized Deep Reinforcement Learning
Lin Zhang, Hao Xiong, Ou Ma +1
Object transportation could be a challenging problem for a single robot due to the oversize and/or overweight issues. A multi-robot system can take the advantage of increased drivi…