Efficient Algorithms for Budget-Constrained Markov Decision Processes.
Constantine CaramanisNedialko B. DimitrovDavid P. MortonPublished in: IEEE Trans. Autom. Control. (2014)
Keyphrases
- markov decision processes
- finite state
- state space
- optimal policy
- transition matrices
- dynamic programming
- policy iteration
- finite horizon
- decision theoretic planning
- average cost
- infinite horizon
- reinforcement learning
- factored mdps
- planning under uncertainty
- risk sensitive
- reinforcement learning algorithms
- decision processes
- markov decision process
- reachability analysis
- model based reinforcement learning
- reward function
- average reward
- state abstraction
- action sets
- machine learning
- action space
- partially observable
- state and action spaces
- heuristic search
- semi markov decision processes