On Finding the Maximal Gain for Markov Decision Processes.
Amedeo R. OdoniPublished in: Oper. Res. (1969)
Keyphrases
- markov decision processes
- state space
- finite state
- optimal policy
- reinforcement learning
- policy iteration
- transition matrices
- dynamic programming
- reinforcement learning algorithms
- decision theoretic planning
- planning under uncertainty
- reachability analysis
- finite horizon
- decision processes
- factored mdps
- partially observable
- model based reinforcement learning
- action space
- risk sensitive
- average reward
- infinite horizon
- average cost
- data mining
- markov decision process
- state abstraction
- state and action spaces
- semi markov decision processes