PAC-Bayesian Policy Evaluation for Reinforcement Learning.
Mahdi Milani FardJoelle PineauCsaba SzepesváriPublished in: UAI (2011)
Keyphrases
- policy evaluation
- pac bayesian
- reinforcement learning
- temporal difference
- least squares
- model free
- function approximation
- distribution free
- policy iteration
- monte carlo
- markov decision processes
- reinforcement learning algorithms
- optimal policy
- variance reduction
- generalization bounds
- dynamic programming
- semi parametric
- machine learning
- learning algorithm
- optimal control
- state space
- action selection
- markov decision process