Decomposition methods for solving Markov decision processes with multiple models of the parameters.
Lauren N. SteimleVinayak S. AhluwaliaCharmee KamdarBrian T. DentonPublished in: IISE Trans. (2021)
Keyphrases
- markov decision processes
- decomposition methods
- multiple models
- transition matrices
- semi markov decision processes
- state space
- optimal policy
- dynamic programming
- finite state
- policy iteration
- decomposition method
- reinforcement learning
- markov decision problems
- decision theoretic planning
- partially observable
- database theory
- markov decision process
- average cost
- average reward
- ensemble methods
- databases
- constraint satisfaction problems
- ensemble learning
- dynamic model
- search space
- neural network