Active Reinforcement Learning with Monte-Carlo Tree Search.
Sebastian SchulzeOwain EvansPublished in: CoRR (2018)
Keyphrases
- monte carlo tree search
- reinforcement learning
- temporal difference
- bayesian reinforcement learning
- reinforcement learning methods
- monte carlo
- temporal difference learning
- tree search algorithm
- evaluation function
- function approximation
- reinforcement learning algorithms
- model free
- state space
- supervised learning
- machine learning
- multi agent
- alpha beta search
- monte carlo search
- action selection
- control problems
- optimal policy
- learning process
- markov decision process
- function approximators
- game tree
- markov chain
- dynamic programming
- learning algorithm