Articoli correlati a Reinforcement Learning and Intelligent Systems: Probability,...
Reinforcement Learning and Intelligent Systems: Probability, Adaptation, Open Models, Reasoning Agents and Autonomous Intelligence - Brossura
Sinossi
A rigorous, interdisciplinary guide to reinforcement learning and intelligent systems, uniting probability, optimisation, control, neuroscience, robotics, language modelling and distributed systems. Richard Murdoch Montgomery develops the mathematics from explicit assumptions, pairs derivations with practical computation in Python, NumPy, PyTorch, JAX and Gymnasium, and examines open model ecosystems and autonomous agents with scientific care. Twenty-five chapters include demanding exercises with complete solutions, making this volume suitable for advanced students, researchers and professionals seeking both theoretical depth and reproducible practice.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Reinforcement Learning and Intelligent Systems: Probability,...
Foto dell'editore
Reinforcement Learning and Intelligent Systems: Probability, Adaptation, Open Models, Reasoning Agents and Autonomous Intelligence
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo I-9798906681102
Compra nuovo
EUR 57,29
Spedizione EUR 2,69
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Reinforcement Learning and Intelligent Systems : Probability, Adaptation, Open Models, Reasoning Agents and Autonomous Intelligence
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware - A rigorous, interdisciplinary guide to reinforcement learning and intelligent systems, uniting probability, optimisation, control, neuroscience, robotics, language modelling and distributed systems. Richard Murdoch Montgomery develops the mathematics from explicit assumptions, pairs derivations with practical computation in Python, NumPy, PyTorch, JAX and Gymnasium, and examines open model ecosystems and autonomous agents with scientific care. Twenty-five chapters include demanding exercises with complete solutions, making this volume suitable for advanced students, researchers and professionals seeking both theoretical depth and reproducible practice. Codice articolo 9798906681102
Compra nuovo
EUR 86,22
Spedizione EUR 45,21
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili