Reinforcement learning : an introduction /
"Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richar...
मुख्य लेखकों: | Sutton, Richard S. (लेखक), Barto, Andrew G. (लेखक) |
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स्वरूप: | पुस्तक |
भाषा: | English |
प्रकाशित: |
Cambridge, Massachusetts :
The MIT Press,
c2018
|
संस्करण: | Second edition. |
श्रृंखला: | Adaptive computation and machine learning series
|
विषय: | |
Classic Catalogue: | View this record in Classic Catalogue |
समान संसाधन
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Dynamic power management by reinforcement learning
द्वारा: Hossain, Safayet, और अन्य
प्रकाशित: (2016) -
Self-learning game bot using deep reinforcement learning
द्वारा: Ananto, Azizul Haque
प्रकाशित: (2018) -
Character animation using reinforcement learning and imitation learning algorithms
द्वारा: Tahmid, Tokey, और अन्य
प्रकाशित: (2021) -
Implementation of reinforcement learning architecture to augment an AI that can self-learn to play video games
द्वारा: Mahmud, Aqil, और अन्य
प्रकाशित: (2023) -
Traffic congestion reduction in SUMO using reinforcement learning method
द्वारा: Mouly, Radia Rahman, और अन्य
प्रकाशित: (2021)