Reinforcement Learning Systems under Discrete Markov Decision Processes
نویسندگان
چکیده
منابع مشابه
Reinforcement Learning and Markov Decision Processes
Situated in between supervised learning and unsupervised learning, the paradigm of reinforcement learning deals with learning in sequential decision making problems in which there is limited feedback. This text introduces the intuitions and concepts behind Markov decision processes and two classes of algorithms for computing optimal behaviors: reinforcement learning and dynamic programming. Fir...
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ژورنال
عنوان ژورنال: Journal of Japan Society for Fuzzy Theory and Systems
سال: 1997
ISSN: 0915-647X,2432-9932
DOI: 10.3156/jfuzzy.9.4_447