Empirical Comparison of Probabilistic and Possibilistic Markov Decision Processes Algorithms.
Régis SabbadinPublished in: ECAI (2000)
Keyphrases
- markov decision processes
- policy iteration
- factored mdps
- state space
- reinforcement learning
- transition matrices
- stochastic shortest path
- decision theoretic planning
- reinforcement learning algorithms
- probabilistic planning
- dynamic programming
- reachability analysis
- computational complexity
- multistage
- infinite horizon
- markov decision process
- optimal policy
- planning under uncertainty
- continuous state spaces
- markov chain
- action sets
- semi markov decision processes
- learning algorithm