On Monte Carlo Tree Search and Reinforcement Learning.
Tom VodopivecSpyridon SamothrakisBranko SterPublished in: J. Artif. Intell. Res. (2017)
Keyphrases
- monte carlo tree search
- reinforcement learning
- temporal difference
- reinforcement learning methods
- bayesian reinforcement learning
- monte carlo
- temporal difference learning
- tree search algorithm
- evaluation function
- reinforcement learning algorithms
- function approximation
- model free
- optimal policy
- multi agent
- learning algorithm
- monte carlo search
- machine learning
- dynamical systems
- state space
- step size
- transfer learning
- control problems
- game tree
- dynamic programming
- control strategies
- action space
- function approximators