Kaifang Wan
Northwestern Polytechnical University(CN)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Distributed Control Multi-Agent Systems, Robotic Path Planning Algorithms, UAV Applications and Optimization, Generative Adversarial Networks and Image Synthesis
Most-Cited Works
- → Robust Motion Control for UAV in Dynamic Uncertain Environments Using Deep Reinforcement Learning(2020)95 cited
- → Relevant experience learning: A deep reinforcement learning method for UAV autonomous motion planning in complex unknown environments(2021)74 cited
- → Multi-UAV roundup strategy method based on deep reinforcement learning CEL-MADDPG algorithm(2023)51 cited
- → An Improved Approach towards Multi-Agent Pursuit–Evasion Game Decision-Making Using Deep Reinforcement Learning(2021)47 cited
- → ME‐MADDPG: An efficient learning‐based motion planning method for multiple agents in complex environments(2021)47 cited
- → Deep Reinforcement Learning Approach with Multiple Experience Pools for UAV’s Autonomous Motion Planning in Complex Unknown Environments(2020)40 cited
- → A Dynamic Adjusting Reward Function Method for Deep Reinforcement Learning with Adjustable Parameters(2019)37 cited
- → Multi-UAV Trajectory Planning during Cooperative Tracking Based on a Fusion Algorithm Integrating MPC and Standoff(2023)31 cited
- → Imaginary filtered hindsight experience replay for UAV tracking dynamic targets in large-scale unknown environments(2022)27 cited
- → A learning-based flexible autonomous motion control method for UAV in dynamic unknown environments(2021)24 cited