Multi-Objective Markov Decision Processes for Data-Driven Decision Support.
Daniel J. LizotteEric B. LaberPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- markov decision processes
- multi objective
- decision support
- data driven
- evolutionary algorithm
- decision support system
- state space
- dynamic programming
- finite state
- reinforcement learning
- multi objective optimization
- optimal policy
- policy iteration
- nsga ii
- objective function
- transition matrices
- genetic algorithm
- pareto optimal
- particle swarm optimization
- data warehouse
- multiple objectives
- reachability analysis
- decision making
- planning under uncertainty
- reinforcement learning algorithms
- decision makers
- factored mdps
- partially observable
- average cost
- markov decision process
- data mining
- decision processes
- decision theoretic planning
- stochastic shortest path
- finite horizon
- average reward
- reward function
- model based reinforcement learning
- action space
- risk sensitive
- fixed point
- search algorithm
- infinite horizon