Solving Very Large Weakly Coupled Markov Decision Processes.
Nicolas MeuleauMilos HauskrechtKee-Eung KimLeonid PeshkinLeslie Pack KaelblingThomas L. DeanCraig BoutilierPublished in: AAAI/IAAI (1998)
Keyphrases
- markov decision processes
- transition matrices
- semi markov decision processes
- optimal policy
- state space
- finite state
- reinforcement learning
- dynamic programming
- stochastic shortest path
- policy iteration algorithm
- markov decision problems
- policy iteration
- action space
- average reward
- state and action spaces
- decision theoretic planning
- reinforcement learning algorithms
- decision processes
- partially observable
- planning under uncertainty
- average cost
- reachability analysis
- finite horizon
- risk sensitive
- factored mdps
- model based reinforcement learning
- markov decision process
- action sets
- decision diagrams
- infinite horizon
- sufficient conditions