Generative subgoal oriented multi-agent reinforcement learning through potential field.
Shengze LiHao JiangYuntao LiuJieyuan ZhangXinhai XuDonghong LiuPublished in: Neural Networks (2024)
Keyphrases
- multi agent reinforcement learning
- potential field
- path planning
- dynamic environments
- biologically inspired
- mobile robot
- multi robot
- learning agents
- multi agent
- obstacle avoidance
- unknown environments
- force field
- robot soccer
- generative model
- stochastic games
- multi agent learning
- reinforcement learning
- collision avoidance
- multi agent systems
- free space
- collision free
- motion planning
- motor control
- distributed control
- cooperative
- artificial intelligence
- learning agent
- learning tasks
- dynamic programming
- control system
- expert systems