Dynamic Programming for Structured Continuous Markov Decision Problems.
Zhengzhu FengRichard DeardenNicolas MeuleauRichard WashingtonPublished in: UAI (2004)
Keyphrases
- markov decision problems
- dynamic programming
- linear programming
- action space
- state space
- reinforcement learning
- optimal policy
- partially observable
- utility function
- decision theoretic
- decision processes
- markov decision processes
- linear program
- transition probabilities
- infinite horizon
- policy iteration
- expected utility
- queueing networks
- real valued
- long run
- markov chain
- stochastic processes
- finite number
- markov decision process
- neural network
- radial basis function
- machine learning