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Applied Molecular Genetics
This text explains the key biochemical and cell biological principles behind some of today's most co;...
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Biochemistry
This book covers the fundamentals of biochemistry, emphasizing the modern developments, and processe;...
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Biochemistry
Biochemistry promotes understanding of biochemical concepts through highly readable chapters that co;...
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Mc Stands For Revolution Folk/Blues/Hip Hop. Think Beck Goes Rl Burnside FOLK/BLUES/HIP HOP. THINK BECK GOES RL BURNSIDE. MOUNTAIN CON, CD
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Hmg Fabulous Blues Sample W/Otis Spann/Big Bad Smitty/Rl Burnside/Franky Lee W/OTIS SPANN/BIG BAD SMITTY/RL BURNSIDE/FRANKY LEE. V/A, CD
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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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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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Self-Assessment in Basic Sciences for Dentists
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Johnston: Numerical Methods - A Software Approach (cloth)
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Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and;
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Statistical Reinforcement Learning
reward signals with its past actions. With numerous successful applications in business intelligence, plant control, and gaming, the RL framework;
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