Learning automata and their applications to intelligent systems /
"A learning automaton represents an important and powerful tool in the area of reinforcement learning and aims at learning the optimal one that maximizes the probability of being rewarded out of a set of allowable systems, actions, alternatives, candidates, or designs by the interaction with a...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, New Jersey :
John Wiley & Sons, Inc.,
[2024]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | "A learning automaton represents an important and powerful tool in the area of reinforcement learning and aims at learning the optimal one that maximizes the probability of being rewarded out of a set of allowable systems, actions, alternatives, candidates, or designs by the interaction with a random environment. During a cycle, an automaton chooses an action and then receives a stochastic response that can be either a reward or penalty from the environment. The action probability vector of choosing the next action is then updated by employing this response. The ability of learning how to choose the optimal action endows learning automata with high adaptability to the environment, thus saving great expense and time to find the optimal one in various difficult stochastic environments."-- |
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| Physical Description: | 1 online resource (xvii, 251 pages) : illustrations (chiefly color) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781394188536 1394188536 9781394188529 1394188528 9781394188505 1394188501 |