expenditure
发表于 2025-3-21 19:02:12
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Allodynia
发表于 2025-3-21 23:26:57
Uwe LorenzAn introduction to reinforcement learning that is hands-on and accessible using Java and Greenfoot.Enables implementation of RL algorithms using easy-to-understand examples and implementations.Suitabl
Microgram
发表于 2025-3-22 01:08:12
978-3-031-09032-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
BIPED
发表于 2025-3-22 05:21:56
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acquisition
发表于 2025-3-22 11:19:00
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让步
发表于 2025-3-22 15:31:14
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CLOWN
发表于 2025-3-22 17:21:29
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干涉
发表于 2025-3-22 23:53:25
Artificial Neural Networks as Estimators for State Values and the Action Selection,rticular, the so-called artificial neural networks are discussed. We will also learn possibilities to use such estimators to create parameterized policies which, for a given state, can produce and improve a useful probability distribution over the available actions.
atrophy
发表于 2025-3-23 01:52:20
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增长
发表于 2025-3-23 09:18:20
Basic Concepts of Reinforcement Learning,agent is and how it generates more or less intelligent behavior in an environment with its “policy.” The structure of the basic model of reinforcement learning is described and the concept of intelligence in terms of individual utility maximization is introduced. In addition, some formal means are i