UAV coverage path planning with limited battery energy based on improved deep double Q-network
J Ni, Y Gu, Y Gu, Y Zhao, P Shi - International Journal of Control …, 2024 - Springer
In response to the increasingly complex problem of patrolling urban areas, the utilization of
deep reinforcement learning algorithms for autonomous unmanned aerial vehicle (UAV) …
deep reinforcement learning algorithms for autonomous unmanned aerial vehicle (UAV) …
Multi-agent combat in non-stationary environments
S Li, H Chi, T Xie - 2021 International Joint Conference on …, 2021 - ieeexplore.ieee.org
Multi-agent combat is a combat scenario in multiagent reinforcement learning (MARL). In
this combat, agents use reinforcement learning methods to learn optimal policies. Actually …
this combat, agents use reinforcement learning methods to learn optimal policies. Actually …