|A435. Kaiwu Bldg. of Mechanical Engineering, Tongji Univ., No. 4800 Cao An Rd., Shanghai 201804, P. R. China
|Multiple Quadrotor UAVs Cooperative Transportation Based on Multi-Agent Reinforcement Learning；
|Bionic Flapping-wing Aircraft Swarm
About Multi-Agent Reinforcement Learning
Multi-Agent Reinforcement Learning (MARL) is an extension of reinforcement learning that focuses on the interaction and cooperation between multiple agents, who learn together how to optimally complete a task. Unlike traditional reinforcement learning, MARL involves multiple agents that can interact with each other and affect each other's states and rewards.
|Bingzheng Wang, Yuanzhe Cui, Tong Li, Yichao Shen, Wei Zhu, Yiheng Zhang and Qirong Tang*. Decision-making of multiple UAVs cooperative transportation. Applied Artificial Intelligence. (under review)
Responsible for 1.the daily shift arrangement of laboratory cleaning and safety and the statistics of student schedule;2.Maintenance and play of video of each group.