Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments.
Junchao LiMingyu CaiZhen KanShaoping XiaoPublished in: CoRR (2023)
Keyphrases
- autonomous agents
- motion planning
- model free
- reinforcement learning algorithms
- partially observable environments
- dynamic environments
- reinforcement learning
- multi agent systems
- mobile robot
- manipulation tasks
- path planning
- degrees of freedom
- multi agent
- humanoid robot
- multiagent systems
- multi robot
- incomplete information
- policy iteration
- function approximation
- temporal difference
- complex systems
- inverse reinforcement learning
- coalition formation