A multi-agent flocking collaborative control method for stochastic dynamic environment via graph attention autoencoder based reinforcement learning

Human-level control through deep reinforcement learning

Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · Nature · 2015 · 30K citations

Computing, Computer Science, Artificial Intelligence +8

Consensus and Cooperation in Networked Multi-Agent Systems

Reza Olfati‐Saber, J.A. Fax, Richard M. Murray · Proceedings of the IEEE · 2007 · 10.3K citations

Computing, Computer Science, Mathematics +17

Flocking for Multi-Agent Dynamic Systems: Algorithms and Theory

Reza Olfati‐Saber · IEEE Transactions on Automatic Control · 2006 · 5K citations

Computing, Computer Science, Mathematics +15

A Q-Learning Approach to Flocking With UAVs in a Stochastic Environment

Shao-Ming Hung, Sidney Givigi · IEEE Transactions on Cybernetics · 2016 · 200 citations

Engineering, Aerospace Engineering, Autonomous Systems +17

A multi-objective pigeon-inspired optimization approach to UAV distributed flocking among obstacles

Huaxin Qiu, Haibin Duan · Information Sciences · 2018 · 166 citations

Engineering, Aerospace Engineering, Autonomous Systems +12