Recursive Learning Automata Approach to Markov Decision Processes.
Hyeong Soo ChangMichael C. FuJiaqiao HuSteven I. MarcusPublished in: IEEE Trans. Autom. Control. (2007)
Keyphrases
- learning automata
- markov decision processes
- reinforcement learning
- state space
- finite state
- policy iteration
- learning automaton
- optimal policy
- dynamic programming
- pursuit algorithm
- transition matrices
- reinforcement learning algorithms
- decision theoretic planning
- average cost
- risk sensitive
- factored mdps
- finite horizon
- model based reinforcement learning
- reachability analysis
- planning under uncertainty
- average reward
- stochastic games
- partially observable
- infinite horizon
- decision processes
- action space
- action sets
- markov decision process
- multi agent
- function approximation
- learning algorithm
- semi markov decision processes
- temporal difference
- machine learning