Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Stéphane RossJoelle PineauPublished in: CoRR (2012)
Keyphrases
- structured domains
- bayesian reinforcement learning
- optimal policy
- conditional random fields
- monte carlo tree search
- reinforcement learning
- bayesian networks
- computational complexity
- spatio temporal
- data mining
- association rules
- multi dimensional
- markov chain
- model free
- sequential data
- partially observable markov decision processes