A Gradient-Aware Search Algorithm for Constrained Markov Decision Processes.
Sami KhairyPrasanna BalaprakashLin X. CaiPublished in: CoRR (2020)
Keyphrases
- markov decision processes
- search algorithm
- finite state
- state space
- optimal policy
- reinforcement learning
- policy iteration
- dynamic programming
- decision theoretic planning
- transition matrices
- reachability analysis
- planning under uncertainty
- search space
- finite horizon
- average reward
- heuristic search
- model based reinforcement learning
- risk sensitive
- markov decision process
- average cost
- reinforcement learning algorithms
- factored mdps
- infinite horizon
- action space
- hill climbing
- gradient method
- decision processes
- decision diagrams
- state abstraction
- action sets
- semi markov decision processes
- finite number