Random-Sampling Monte-Carlo Tree Search Methods for Cost Approximation in Long-Horizon Optimal Control.
Shankarachary RagiHans D. MittelmannPublished in: CoRR (2020)
Keyphrases
- optimal control
- search methods
- random sampling
- monte carlo
- adaptive sampling
- markovian decision
- average cost
- search algorithm
- importance sampling
- control problems
- dynamic programming
- metaheuristic
- active learning
- sample size
- sampling algorithm
- markov chain
- reinforcement learning
- game tree
- hyperparameters
- stratified sampling
- sampling methods
- state space
- monte carlo tree search
- control strategy
- sliding window
- tree search
- particle filter
- infinite horizon
- optimal strategy
- variance reduction
- temporal difference
- markov chain monte carlo
- cost sensitive
- markov decision processes
- learning algorithm