MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments.
Zuxin LiuBaiming ChenHongyi ZhouGuru KoushikMartial HebertDing ZhaoPublished in: IROS (2020)
Keyphrases
- dynamic environments
- path planning
- reinforcement learning
- multi agent
- reinforcement learning agents
- mobile robot
- single agent
- path planning algorithm
- autonomous agents
- collision avoidance
- obstacle avoidance
- reinforcement learning algorithms
- multi robot
- genetic algorithm
- path finding
- multi agent environments
- path planner
- potential field
- multiple robots
- indoor environments
- autonomous navigation
- real environment
- intelligent agents
- state space
- trajectory planning
- robot path planning
- dynamic and uncertain environments
- optimal path
- degrees of freedom
- motion planning
- learning algorithm
- unmanned aerial vehicles
- changing environment
- agent systems
- state abstraction
- transfer learning
- multiagent systems
- dynamic programming
- multi agent systems
- multiple agents
- action selection
- belief space
- autonomous vehicles
- markov decision processes
- optimal policy
- partially observable