Keyphrases
- markov decision processes
- state space
- transition matrices
- dynamic programming
- finite state
- policy iteration
- optimal policy
- finite horizon
- reinforcement learning
- average cost
- infinite horizon
- partially observable
- action space
- decision processes
- planning under uncertainty
- reachability analysis
- risk sensitive
- decision theoretic planning
- reward function
- model based reinforcement learning
- reinforcement learning algorithms
- state and action spaces
- data mining
- action sets
- average reward
- factored mdps
- policy evaluation
- probabilistic planning