Reinforcement learning : an introduction /

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...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron:	Sutton, Richard S. (Awdur), Barto, Andrew G. (Awdur)
Fformat:	Llyfr
Iaith:	English
Cyhoeddwyd:	Cambridge, Massachusetts : The MIT Press, c2018
Rhifyn:	Second edition.
Cyfres:	Adaptive computation and machine learning series
Pynciau:	Reinforcement learning. Computer science.
Classic Catalogue:	View this record in Classic Catalogue

Eitemau Tebyg

Dynamic power management by reinforcement learning
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Introduction to deep learning /
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Reinforcement learning based autonomous vehicle for exploration and exploitation of undiscovered track
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Deep learning /
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Carbon reinforced epoxy systems /
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ROBB: recurrent proximal policy optimization reinforcement learning for optimal block formation in bitcoin blockchain network
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Enhancing object clarity in single channel night vision images using deep reinforcement learning
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Approval VO#13 adjustment unit price for planting reinforcement work
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Exploring the applications of deep reinforcement learning and quantum variational circuit In quantum machine learning
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Regarding the effect of zone C earth excavation on reinforcement approach
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Adjustment unit price for planting reinforcement work of BRAC University new campus project
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Resource-aware task scheduling by an adversarial bandit solver method in wireless sensor networks
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UAV assisted cooperative caching on network edge using multi agent Actor critic reinforcement learning
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Health trauma and well-being assistant for Bengali seniors in household: a multimodal approach
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Analyzing optimization landscape of recent policy optimization methods in deep RL
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Design of concrete structures /
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Resource aware task scheduling in wireless sensor networks
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IoT based air components collection for machine learning reinforcement
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Implementation of neural network in game engine to create smart bot and behavior analysis
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Reinforcement learning based autonomic virtual machine management in clouds
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Malicious data classification in packet data network through hybrid meta deep learning
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Machine learning engineering /
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Grokking deep learning /
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Redesigning and restructuring CSE-110 based on interactive learning pedagogy
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Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems /
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Learning theories for teachers /
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The hundred-page machine learning /
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Transfer learning for natural language processing /
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Deep learning for beginners : a beginner's guide to getting up and running with deep learning from scratch using Python /
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Document template identification and data extraction using machine learning and deep learning approach
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