Monte Carlo Off-Policy Reinforcement Learning: A Rough Set Approach.
James F. PetersDaniel LockerySheela RamannaPublished in: HIS (2005)
Keyphrases
- monte carlo
- reinforcement learning
- temporal difference
- stochastic approximation
- policy evaluation
- markov chain
- rough sets
- monte carlo simulation
- reinforcement learning algorithms
- function approximation
- rough set theory
- simulation study
- state space
- temporal difference learning
- monte carlo methods
- optimal strategy
- adaptive sampling
- importance sampling
- monte carlo tree search
- particle filter
- model free
- global illumination
- optimal control
- dynamic programming
- matrix inversion
- markovian decision
- markov decision processes
- learning process
- reinforcement learning methods
- learning algorithm
- machine learning