Keyphrases
- markov decision processes
- state space
- optimal policy
- finite state
- transition matrices
- reinforcement learning
- dynamic programming
- policy iteration
- decision theoretic planning
- average cost
- markov decision process
- partially observable
- factored mdps
- action sets
- finite horizon
- decision processes
- planning under uncertainty
- average reward
- interval estimation
- model based reinforcement learning
- reachability analysis
- action space
- state and action spaces
- reinforcement learning algorithms
- long run
- risk sensitive
- decision theoretic
- machine learning
- infinite horizon
- search space