A collaborative distributed multi-agent reinforcement learning technique for dynamic agent shortest path planning via selected sub-goals in complex cluttered environments.
Dalila B. MegherbiMinsuk KimPublished in: CogSIMA (2015)
Keyphrases
- path planning
- dynamic environments
- multi agent reinforcement learning
- multi agent
- cluttered environments
- autonomous agents
- mobile robot
- learning agents
- cooperative
- path planning algorithm
- multi agent learning
- multi agent systems
- multiple robots
- multi robot
- distributed control
- learning agent
- single agent
- intelligent agents
- collision free
- multiagent systems
- complex environments
- optimal path
- path finding
- software agents
- stochastic games
- agent interactions
- learning algorithm
- reinforcement learning
- computer vision