Solving Markov decision processes for network-level post-hazard recovery via simulation optimization and rollout.
Yugandhar SarkaleSaeed NozhatiEdwin K. P. ChongBruce R. EllingwoodHussam MahmoudPublished in: CASE (2018)
Keyphrases
- markov decision processes
- transition matrices
- semi markov decision processes
- finite state
- state space
- optimal policy
- reinforcement learning
- dynamic programming
- planning under uncertainty
- policy iteration
- decision theoretic planning
- finite horizon
- markov decision problems
- average cost
- reachability analysis
- reinforcement learning algorithms
- decision processes
- average reward
- risk sensitive
- factored mdps
- action sets
- model based reinforcement learning
- action space
- infinite horizon
- stochastic shortest path
- partially observable
- search algorithm
- search space
- markov games
- state and action spaces
- optimal control
- reward function
- data mining