Nearly Deterministic Abstractions of Markov Decision Processes.
Terran LaneLeslie Pack KaelblingPublished in: AAAI/IAAI (2002)
Keyphrases
- markov decision processes
- state space
- optimal policy
- finite state
- policy iteration
- reinforcement learning
- transition matrices
- average reward
- stationary policies
- dynamic programming
- risk sensitive
- factored mdps
- reachability analysis
- average cost
- markov decision process
- finite horizon
- planning under uncertainty
- infinite horizon
- reinforcement learning algorithms
- action space
- model based reinforcement learning
- decision theoretic planning
- decentralized control
- decision processes
- partially observable
- reward function
- sufficient conditions
- machine learning
- initial state
- partially observable markov decision processes
- semi markov decision processes
- real time dynamic programming