Technical Note - Cyclic Variables and Markov Decision Processes.
Avery M. HavivPublished in: Oper. Res. (2020)
Keyphrases
- markov decision processes
- optimal policy
- state space
- finite state
- dynamic programming
- transition matrices
- reinforcement learning
- policy iteration
- reachability analysis
- infinite horizon
- average reward
- finite horizon
- planning under uncertainty
- factored mdps
- decision theoretic planning
- reinforcement learning algorithms
- average cost
- action sets
- state and action spaces
- markov decision process
- decision processes
- model based reinforcement learning
- real time dynamic programming
- risk sensitive
- action space
- state variables
- monte carlo
- semi markov decision processes
- random variables
- markov chain
- objective function