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Reinforcement Learning and Intelligent Systems: Probability, Adaptation, Open Models, Reasoning Agents and Autonomous Intelligence - Softcover
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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.
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Reinforcement Learning and Intelligent Systems: Probability, Adaptation, Open Models, Reasoning Agents and Autonomous Intelligence
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Reinforcement Learning and Intelligent Systems : Probability, Adaptation, Open Models, Reasoning Agents and Autonomous Intelligence
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Taschenbuch. Zustand: 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. Artikel-Nr. 9798906681102
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