Reinforcementlearning – alle Bücher

Maximilian Templer
Untersuchung von Reinforcement Learning zur Regelung von automatisierten Fahrfunktionen

AutoUni - Schriftenreihe - Band 187

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

lieferbar ab 10.9.2026.

Buch

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…

Erscheint bald

Buch

Benjamin Heinbach
Reinforcement Learning-Based Planning of Factory Layouts

Findings from Production Management Research

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…

lieferbar innerhalb 2-3 Wochen

Buch

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 …

lieferbar innerhalb 2-3 Wochen

Buch

Aviv Tamar, Shie Mannor, Yishay Mansour
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…

lieferbar ab 31.7.2026.

Buch

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…

lieferbar ab 29.12.2026.

Buch

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…

lieferbar ab 14.10.2026.

Buch

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…

lieferbar ab 14.10.2026.

Buch

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…

lieferbar ab 28.7.2026.

Buch

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 …

lieferbar in mind. 4 Wochen

Buch

Rudy Milani
Advanced Automation for Comprehensible Causal Explanations of Reinforcement Learning Agents

This thesis introduces Auto-BENEDICT, a novel, fully automated methodology designed to generate human-comprehensible causal explanations for model-free Reinforcement Learning (RL) agents. The system addre…

lieferbar innerhalb 2-3 Wochen

Buch

Constantin Waubert de Puiseau
Advancing Training and Inference Methods for Reinforcement Learning-Based Job Shop Scheduling

Industrial production is facing growing challenges due to more complex supply chains, shorter development cycles, and greater product variance. At the same time, the availability of production data and ad…

lieferbar innerhalb 2-3 Wochen

Buch

Hang Wang, Sen Lin, Junshan Zhang
Continual and Reinforcement Learning for Edge AI

Synthesis Lectures on Learning, Networks, and Algorithms

This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance …

lieferbar innerhalb 2-3 Wochen

Buch

Shimin Gong, Dusit Niyato, Bo Gu, Kaibin Huang
Optimization-Driven Deep Reinforcement Learning for Wireless Networks

This book explores the integration and interplay of model-based optimization and model-free deep reinforcement learning (DRL). It addresses the growing complexity of future wireless networks. This book be…

lieferbar innerhalb 2-3 Wochen

Buch

Robert Pasko
Practical AI Control Methods

This comprehensive guide bridges classical control theory and modern AI-driven control systems, demonstrating how neural networks, fuzzy logic, and reinforcement learning enable adaptive controllers that …

lieferbar ab 27.11.2026.

Buch

Pedro Oliveira, João Da Cruz Pereira, Paulo Novais
Architectures for Agentic AI

SpringerBriefs in Intelligent Systems

This book explores the emerging paradigm of Agentic AI, where Large Language Models (LLMs) and Reinforcement Learning (RL) converge to create intelligent, autonomous, and adaptive systems. It provides a u…

lieferbar innerhalb 2-3 Wochen

Buch

Pedro Alberto Oliveira Paiva, José Pedro Ponte Mota Da Costa, Filipe Parrado de Azevedo, Ricardo Miguel Ferreira Martins
Analog Integrated Circuit Design Under PVT Conditions

SpringerBriefs in Applied Sciences and Technology

This book delivers a focused, technical exploration of automated analog and RF integrated circuit sizing under process, voltage, and temperature variations, guiding readers through foundational concepts, …

lieferbar innerhalb 2-3 Wochen

Buch

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