Qualitative Possibilistic Mixed-Observable MDPs.
Nicolas DrougardFlorent Teichteil-KönigsbuchJean-Loup FargesDidier DuboisPublished in: UAI (2013)
Keyphrases
- possibility theory
- markov decision processes
- reinforcement learning
- possibilistic logic
- state space
- possibility distributions
- decision making under uncertainty
- quantitative and qualitative
- qualitative reasoning
- factored mdps
- qualitative and quantitative
- uncertain knowledge
- expected utility
- expected utility theory
- decision diagrams
- finite horizon
- probability theory
- incomplete information
- optimal policy
- decision theory
- logic programming
- decision makers
- possibilistic networks
- markov decision process
- fuzzy set theory
- quantitative data
- markov decision problems
- finite state
- dec pomdps
- state and action spaces
- real time dynamic programming
- dynamic programming