On the Sample Complexity of Reinforcement Learning with a Generative Model .
Mohammad Gheshlaghi AzarRémi MunosBert KappenPublished in: ICML (2012)
Keyphrases
- generative model
- reinforcement learning
- probabilistic model
- bayesian framework
- semi supervised
- function approximation
- learning process
- em algorithm
- machine learning
- posterior probability
- discriminative models
- learning algorithm
- discriminative learning
- state space
- prior knowledge
- latent dirichlet allocation
- generative and discriminative models
- markov decision processes
- optimal policy
- expectation maximization
- posterior distribution
- markov chain monte carlo
- reward function