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Reinforcement and Punishment

Reinforcement and Punishment is een boek van Joseph Mallory Strayhorn;

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Primer on Learning and Conditioning

, reinforcement and punishment, and simple schedules of reinforcement. Students also explore the topics of self-control, behavioral economics, and their;

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Reinforcement Learning

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve;

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Biological Determinants of Reinforcement

This seventh volume, divided into four parts, addresses the biological determinates of reinforcement and memory. Covers topics;

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Applied Reinforcement Learning with Python

Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important;

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Reinforcement Learning for Finance

This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow;

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The Power of Reinforcement

and defends the use of reinforcement principles against a wide variety of attacks. Countering the myths, criticisms, and misrepresentations;

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New Horizons in Earth Reinforcement

-established earth reinforcement technologies are regularly augmented by new materials, innovative construction techniques and advances in design and;

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New Horizons in Earth Reinforcement

-established earth reinforcement technologies are regularly augmented by new materials, innovative construction techniques and advances in design and;

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Psychology of Punishment

psychological models of public opinion about punishment and religious beliefs; retributive punishment for sex offenders; drug driving laws and;

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Reinforcement Learning

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational;

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Human-Robot Interaction Control Using Reinforcemen t Learning

, model-free and reinforcement learning controllers. The book begins with a brief introduction to state-of-the-art human-robot interaction control;

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Operant Conditioning

of intermittent reinforcement extend this approach to more complex situations and emphasize that behaviour can be maintained and controlled in many;

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Operant Conditioning

of intermittent reinforcement extend this approach to more complex situations and emphasize that behaviour can be maintained and controlled in many;

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Learning & Behavior: Pearson International Edition

A thorough survey of the field of learning. Learning & Behavior covers topics such as classical and operant conditioning, reinforcement;

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Rock Reinforcement and Rock Support

conditions associated with them must be understood so that correct stabilisation of the structure through rock reinforcement and/or rock support can;

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Rock Reinforcement and Rock Support

conditions associated with them must be understood so that correct stabilisation of the structure through rock reinforcement and/or rock support can;

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Grokking Deep Reinforcement Learning

. Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal;

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Training Reinforcement

A proven framework to fill the gap between knowing and doing Training Reinforcement offers expert guidance for more effective;

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Reinforcement of Timber Elements in Existing Structures

reinforcement of timber elements, joints and structures. It consists of two parts: part I examines state-of-the-art information on reinforcement;

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TensorFlow 2 Reinforcement Learning Cookbook

Features Develop and deploy deep reinforcement learning-based solutions to production pipelines, products, and services Explore popular;

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Statistical Reinforcement Learning

field, Statistical Reinforcement Learning: Modern Machine Learning Approaches presents fundamental concepts and practical algorithms;

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Statistical Reinforcement Learning

field, Statistical Reinforcement Learning: Modern Machine Learning Approaches presents fundamental concepts and practical algorithms;

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Deep Reinforcement Learning with Python

, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding;

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Hands-On Reinforcement Learning with Python

advanced deep reinforcement learning algorithms. The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and;

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Punishment

Punishment is a topic of increasing importance for citizens and policymakers. Why should we punish criminals? Which theory of punishment;

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Reinforcement Learning

Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their;

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