Causal Explanations for Sequential Decision Making Under Uncertainty.
Samer B. NashedSaaduddin MahmudClaudia V. GoldmanShlomo ZilbersteinPublished in: AAMAS (2023)
Keyphrases
- causal models
- sequential decision making under uncertainty
- markov decision processes
- causal relationships
- causal reasoning
- generating explanations
- state space
- bayesian networks
- qualitative models
- markov chain
- utility function
- dynamical systems
- graphical models
- benchmark problems
- influence diagrams
- optimization problems
- probability distribution
- finite state
- expected utility
- multi objective
- search algorithm
- reinforcement learning
- machine learning