Random-Sampling Monte-Carlo Tree Search Methods for Cost Approximation in Long-Horizon Optimal Control.
Shankarachary RagiHans D. MittelmannPublished in: IEEE Control. Syst. Lett. (2021)
Keyphrases
- search methods
- optimal control
- monte carlo
- random sampling
- adaptive sampling
- markovian decision
- average cost
- control problems
- importance sampling
- search algorithm
- active learning
- sampling algorithm
- dynamic programming
- markov chain
- sample size
- infinite horizon
- metaheuristic
- control strategy
- hyperparameters
- stratified sampling
- reinforcement learning
- tree search
- particle filter
- game tree
- monte carlo tree search
- sampling methods
- temporal difference
- state space
- cost sensitive
- sliding window
- index structure
- lower bound
- optimal strategy
- upper bound
- mathematical model