SEA-PARAM: Exploring Schedulers in Parametric MDPs.
Sebastian ArmingEzio BartocciAna SokolovaPublished in: QAPL@ETAPS (2017)
Keyphrases
- markov decision processes
- reinforcement learning
- state space
- finite horizon
- factored mdps
- markov decision process
- dynamic programming
- scheduling algorithm
- factored markov decision processes
- dec pomdps
- decision theoretic planning
- markov chain
- transition probabilities
- data sets
- semi parametric
- planning under uncertainty
- probabilistic planning
- search algorithm
- state and action spaces
- stochastic shortest path