Results 181 to 190 of about 38,584 (203)

Deterministic policy gradient algorithms for semi‐Markov decision processes

International Journal of Intelligent Systems, 2021
Ashkan Haji Hosseinloo, Munther A. Dahleh   +1 more
openaire   +1 more source

Learning Automaton for Finite Semi-Markov Decision Processes

1983
A finite semi-Markov decision process is studied to maximize the expected average reward. The semi-Markov kernel of the process depends on an unknown parameter taking values in a subset [a, b] of ℝS. A controller modelled as a learning automaton updates sequentially the probabilities of generating decisions based on the observed decisions, states, and ...
openaire   +1 more source

Reinforcement learning with options in semi Markov decision processes

2021
Treball fi de màster de: Master in Intelligent Interactive ...
openaire   +1 more source

Semi-Markov Decision-Making Processes with Vector Gains

Theory of Probability & Its Applications, 1984
Vinogradskaya, T. M., Geninson, B. A., Rubchinskij, A. A.   +2 more
openaire   +3 more sources

Semi-Markov Decision Processes with Vector Pay-Offs

2022
openaire   +1 more source

Cost Rate Heuristics for Semi-Markov Decision Processes

1991
National Research ...
Glazebrook, K.D., Bailey, Michael P., Whitaker, Lyn R.   +2 more
openaire   +1 more source

Semi-Markov decision processes

2015
openaire   +1 more source

An optimal maintenance strategy for multi-state deterioration systems based on a semi-Markov decision process coupled with simulation technique

Mechanical Systems and Signal Processing, 2020
Haibo Jin, Fangwei Han, Yu Sang
exaly  

Solving Semi-Markov Decision Problems Using Average Reward Reinforcement Learning

Management Science, 1999
Abhijit Gosavi, Sridhar Mahadevan, Tapas K Das   +2 more
exaly  

Remaining useful life prediction for engineering systems under dynamic operational conditions: A semi-Markov decision process-based approach

Chinese Journal of Aeronautics, 2019
Diyin Tang, Jinsong Yu
exaly