Unmanned Aerial Vehicle Swarm Cooperative Decision-Making for SEAD Mission: A Hierarchical Multiagent Reinforcement Learning Approach.
Longfei YueRennong YangJialiang ZuoYing ZhangQiuni LiYijie ZhangPublished in: IEEE Access (2022)
Keyphrases
- multiagent reinforcement learning
- unmanned aerial vehicles
- cooperative
- mission planning
- decision making
- path planning
- joint action
- multiagent systems
- multi agent
- stochastic games
- control algorithm
- particle swarm optimization
- decision makers
- supply chain
- human operators
- dynamic environments
- fuzzy logic
- mobile robot
- multi agent systems
- reinforcement learning
- coalition formation