Bayesian sparse sampling for on-line reward optimization.
Tao WangDaniel J. LizotteMichael H. BowlingDale SchuurmansPublished in: ICML (2005)
Keyphrases
- sparse sampling
- optimization problems
- bayesian networks
- optimization algorithm
- global optimization
- maximum likelihood
- reinforcement learning
- monte carlo sampling
- optimization method
- efficient optimization
- constrained optimization
- posterior probability
- bayesian inference
- optimization methods
- data sets
- database systems
- bayesian methods
- bayesian learning
- bayesian estimation
- optimization criteria
- probabilistic model