Monte Carlo Tree Search With Reinforcement Learning for Motion Planning.
Philippe WeingertnerMinnie HoAndrey TimofeevSébastien AubertGuillermo Pita GilPublished in: ITSC (2020)
Keyphrases
- motion planning
- monte carlo tree search
- reinforcement learning
- temporal difference
- reinforcement learning methods
- bayesian reinforcement learning
- monte carlo
- temporal difference learning
- degrees of freedom
- mobile robot
- trajectory planning
- function approximation
- reinforcement learning algorithms
- path planning
- evaluation function
- robotic tasks
- humanoid robot
- model free
- multi robot
- robotic arm
- optimal policy
- state space
- learning algorithm
- control law
- machine learning
- dynamical systems
- multi agent
- action selection
- action space
- configuration space
- game tree
- control strategies
- markov decision processes
- markov decision process
- function approximators
- markov chain
- computer vision
- climbing robot