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Contemporary Debates in Cognitive Science

This volume introduces central issues in cognitive science by means of debates on key questions. * T;...

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Contemporary Debates In Cognitive Science

This volume introduces central issues in cognitive science by means of debates on key questions. * ;...

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Psychography

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Psychography

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Spirit Teachings

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Reinforcement Learning

Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from;

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Deep Reinforcement Learning Hands-On

expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and more Key Features Second;

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Reinforcement Learning for Cyber-Physical Systems

of reinforcement learning (RL) and cyber-physical systems (CPSs). Rooted in behavioral psychology, RL is one of the primary strands of machine learning;

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Reinforcement Learning for Cyber-Physical Systems

of reinforcement learning (RL) and cyber-physical systems (CPSs). Rooted in behavioral psychology, RL is one of the primary strands of machine learning;

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Foundations of Deep Reinforcement Learning

The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep reinforcement learning (deep RL;

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Development of a Remote Laboratory for Engineering Education

The field of information technology continues to advance at a brisk pace, including the use of Remote Laboratory (RL) systems in education;

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Development of a Remote Laboratory for Engineering Education

The field of information technology continues to advance at a brisk pace, including the use of Remote Laboratory (RL) systems in education;

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PyTorch 1.x Reinforcement Learning Cookbook

design and build self-learning artificial intelligence (AI) models Implement RL algorithms to solve control and optimization challenges faced by;

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Decision Processes

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Decision Processes

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Transfer in Reinforcement Learning Domains

In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. The RL;

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Deep Reinforcement Learning Hands-On

reinforcement learning (RL), from the first principles to the latest algorithms Evaluate high-profile RL methods, including value iteration, deep Q;

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Python Reinforcement Learning

point into the world of artificial intelligence using the power of Python An example-rich guide to master various RL and DRL algorithms Explore;

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Doing Q Methodological Research

A thorough and intelligent intro to the theory and method of Q from big name authors in a market whe;...

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The The Reinforcement Learning Workshop

learning (RL) to make decisions and perform actions that maximize the probability of the desired outcome. This book will help you to get to grips;

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Ministry Vs. Church

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It Came from Ohio!: My Life as a Writer

Revised and updated, the autobiography of the Master of Fright, RL Stine! The autobiography of RL Stine, creator of the Goosebumps series;

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