Trefferliste "Reinforcement" - alle Bücher, CDs, LPs und mehr

Maximilian Templer

Untersuchung von Reinforcement Learning zur Regelung von automatisierten Fahrfunktionen

Dieses Buch zeigt, wie Reinforcement Learning die Fahrdynamikregelung automatisierter Fahrfunktionen gezielt erweitern kann. Durch die Integration eines lernfähigen Agenten in bestehende, modellbasierte R…

DBC

Dead Brain Cells (Slipcase)

DBC

Dead Brain Cells (remastered) (Red Vinyl)

Sparks

Propaganda (50th Anniversary) (Limited Edition) (Picture Disc)

Jens Gaulke

KI-Algorithmen mit Python

Die codegestützte Einführung ins Machine LearningIn Zeiten von Claude, Gemini, ChatGPT und Co. ist längst bekannt: KI ist nicht gleich KI. In diesem Buch lernen Sie die zentralen lernenden Algorithmen ken…

Zhiqing Xiao

Reinforcement Learning

Reinforcement Learning: Theory and Python Implementation is a tutorial book on reinforcement learning, with explanations of both theory and applications. Starting from a uniform mathematical framework, th…

Hamid Berenji

Fuzzy Reinforcement Learning

Integrate fuzzy logic and reinforcement learning to achieve intelligent control systemsDesigning adaptive control systems that handle uncertainty requires methods beyond traditional approaches. Fuzzy Rein…

Shie Mannor, Yishay Mansour, Aviv Tamar

Reinforcement Learning Foundations

Bridging the gap between introductory texts and the specialized research literature, this is one of the first truly rigorous yet accessible treatments of modern reinforcement learning. Written by three le…

Hadi Aghazadeh

Applied Reinforcement Learning

Get the eBook free when you register your print book at Manning.Whether you're finding the best delivery route, establishing efficient schedules, or maximizing profit with dynamic pricing, success in busi…

Uday Kamath, Vedant Vajre

Reinforcement Learning in Action

Reinforcement learning (RL) has become the engine behind some of the most significant advances in modern artificial intelligence, from defeating world champions in Go to aligning large language models wit…

Uday Kamath, Vedant Vajre

Reinforcement Learning in Action

Reinforcement learning (RL) has become the engine behind some of the most significant advances in modern artificial intelligence, from defeating world champions in Go to aligning large language models wit…

Sean Meyn

Control Systems and Reinforcement Learning

"A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of "deep" or "Q", or why the code sometimes fails. This book …

Masanori Hamada

Seismic Reinforcement of Infrastructure

Masanori Hamada draws expertise gained throughout his four-decade career to assess the damage caused by notable earthquakes in Japan and explains how remedial design for existing structures can be used to…

Shiyu Zhao

Mathematical Foundations of Reinforcement Learning

This book provides a mathematical yet accessible introduction to the fundamental concepts, core challenges, and classic reinforcement learning algorithms. It aims to help readers understand the theoretica…

Brian Auger

Complete Oblivion (Deluxe Boxset) (remastered)

Brian Auger's Oblivion Express war der Phönix, der aus der Asche der Sixties-Combo The Trinity aufstieg. Durch die Verschmelzung von R&B, Jazz, Soul und Funk schuf der Keyboard-Maestro Brian Auger eine ne…

Nathan Lambert

Reinforcement Learning from Human Feedback

Get the eBook free when you register your print book at Manning."A masterful synthesis of the field's intellectual roots and its practical tools." ---Saurabh Sawant, MicrosoftReinforcement Learn…

Benjamin Heinbach

Reinforcement Learning-Based Planning of Factory Layouts

Facility layout planning is a core discipline in production management, directly shaping operational efficiency, material flow, and cost structures. Despite its criticality, facility layout planning prese…

Empirical Processes and Statistical Reinforcement Learning

Michael R. Kosorok has made significant contributions to biostatistics, precision medicine, machine learning and artificial intelligence, shaping the future of statistical methodology and biomedical resea…

Martin L Puterman, Timothy C Y Chan

Markov Decision Processes and Reinforcement Learning

This book offers a comprehensive introduction to Markov decision process and reinforcement learning fundamentals using common mathematical notation and language. Its goal is to provide a solid foundation …