Development of interactive multi-objective reinforcement learning considering preference structure of a decision maker.
Hiroyuki YamamotoTomohiro HayashidaIchiro NishizakiShinya SekizakiPublished in: IWCIA (2017)
Keyphrases
- decision makers
- multi objective
- multi criteria
- multiple criteria
- conflicting objectives
- decision support
- reinforcement learning
- decision making
- preference model
- evolutionary algorithm
- multi objective optimization
- decision analysis
- utility function
- decision making under uncertainty
- decision aid
- user preferences
- expected utility
- multiobjective optimization
- nsga ii
- risk averse
- multi objective evolutionary algorithms
- genetic algorithm
- decision process
- multi attribute
- markov decision processes
- real world
- current situation
- group decision making
- pareto optimal
- multiple objectives
- preference elicitation
- pairwise comparison
- learning algorithm