#reinforcement learning
Sep 2026
Physics-prior-driven distributed deep reinforcement learning for multi-UAV path planning
A physics-prior-driven decentralized deep reinforcement learning (DRL) framework Functioning as a scalable distributed computing paradigm via decentralized training with decentralized execution (DTDE), the framework mitigates the curse of dimensionality.
Jian-Hua Liu, Hai-Tao Zhou, Jia-Jia Liu et al.
· Journal of Supercomputing · 0 citations