Improved Multi-Agent Reinforcement Learning for Path Planning-Based Crowd Simulation.
Qingqing WangHong LiuKaizhou GaoLe ZhangPublished in: IEEE Access (2019)
Keyphrases
- path planning
- multi agent reinforcement learning
- crowd simulation
- mobile robot
- path planning algorithm
- multi robot
- multi agent
- optimal path
- dynamic environments
- reinforcement learning
- multi agent learning
- path finding
- learning agents
- cooperative
- multi agent systems
- game theory
- degrees of freedom
- virtual characters
- object tracking
- search algorithm
- distributed control
- video sequences
- decision making