Configurable Markov Decision Processes.
Alberto Maria MetelliMirco MuttiMarcello RestelliPublished in: ICML (2018)
Keyphrases
- markov decision processes
- state space
- reinforcement learning
- policy iteration
- finite state
- dynamic programming
- reachability analysis
- decision theoretic planning
- optimal policy
- decision processes
- transition matrices
- markov decision process
- infinite horizon
- planning under uncertainty
- machine learning
- action space
- finite horizon
- reinforcement learning algorithms
- factored mdps
- state and action spaces
- model based reinforcement learning
- partially observable
- average cost
- heuristic search
- average reward
- probabilistic planning
- risk sensitive
- least squares
- learning algorithm
- semi markov decision processes