Active Exploration in Markov Decision Processes.
Jean TarbouriechAlessandro LazaricPublished in: CoRR (2019)
Keyphrases
- markov decision processes
- active exploration
- reinforcement learning
- state space
- finite state
- optimal policy
- active learning
- problem based learning
- policy iteration
- reachability analysis
- small sample
- transition matrices
- planning under uncertainty
- partially observable
- dynamic programming
- decision theoretic planning
- average cost
- average reward
- model based reinforcement learning
- action space
- state and action spaces
- decision trees
- reward function
- infinite horizon
- markov decision process
- model free
- game playing
- least squares
- optical flow
- case study
- machine learning