Human-Robot Collaborative Multi-Agent Path Planning using Monte Carlo Tree Search and Social Reward Sources.
Marc DalmassoAnaís GarrellJosé Enrique DomínguezPablo JiménezAlberto SanfeliuPublished in: ICRA (2021)
Keyphrases
- path planning
- human robot
- monte carlo tree search
- multi agent
- reinforcement learning
- monte carlo
- human robot interaction
- action selection
- mobile robot
- temporal difference
- path planning algorithm
- dialogue system
- evaluation function
- reinforcement learning methods
- humanoid robot
- multi robot
- dynamic environments
- optimal path
- multi agent systems
- robotic systems
- path finding
- autonomous navigation
- motion planning
- artificial life
- human users
- reward function
- game tree
- multiple agents
- collaborative learning
- decision making
- evolutionary algorithm
- intelligent agents
- markov chain
- state space
- machine learning
- real time
- dynamic programming
- reinforcement learning algorithms
- metaheuristic
- domain independent
- markov decision processes