The Relations Among Potentials, Perturbation Analysis, and Markov Decision Processes.
Xi-Ren CaoPublished in: Discret. Event Dyn. Syst. (1998)
Keyphrases
- markov decision processes
- optimal policy
- state space
- reinforcement learning
- finite state
- planning under uncertainty
- policy iteration
- transition matrices
- dynamic programming
- decision theoretic planning
- finite horizon
- factored mdps
- markov decision process
- reachability analysis
- model based reinforcement learning
- average cost
- partially observable
- decision processes
- risk sensitive
- average reward
- infinite horizon
- state and action spaces
- action sets
- higher order
- multi agent
- real time dynamic programming
- state abstraction
- search algorithm
- data mining