Keyphrases
- markov decision processes
- state space
- action space
- optimal policy
- state abstraction
- finite state
- partially observable
- reinforcement learning
- markov decision process
- transition matrices
- average cost
- real time dynamic programming
- policy iteration
- dynamic programming
- decision processes
- infinite horizon
- reachability analysis
- average reward
- factored mdps
- reinforcement learning algorithms
- heuristic search
- finite horizon
- model based reinforcement learning
- planning under uncertainty
- state variables
- decision theoretic planning
- risk sensitive
- semi markov decision processes
- action sets
- markov chain
- collaborative filtering
- total reward
- discounted reward
- real valued
- planning problems
- search space
- multi agent