Reinforcement Learning – alle Bücher, Seite 4

Games on Graphs

This volume introduces the fundamental results and the state of the art in infinite duration games on graphs. These versatile game models first appeared in the study of automata and logic, but later becam…

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Weiting Zhang, Dong Yang, Shuai Gao, Hongke Zhang
Intelligent Resource Scheduling in End-Edge-Cloud Networks

Wireless Networks

This book investigates technologies that enable more powerful resources and improve resource utilization for end-edge-cloud networks. The authors cover tools such as federated learning (FL) and real-time …

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Emerging Trends in Artificial Intelligence and Applications

Communications in Computer and Information Science

The CCIS book constitutes selected papers of the 12th International Conference on Computational Science and Computational Intelligence, CSCI 2025, which took place in Las Vegas, NV, USA, during December 3…

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AI 2025: Advances in Artificial Intelligence

This two-volume set LNAI 16370-16371 constitutes the refereed proceedings of the 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, held in Canberra, ACT, Australia, during December 1…

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AI 2025: Advances in Artificial Intelligence

Lecture Notes in Computer Science - Band 16370

This two-volume set LNAI 16370-16371 constitutes the refereed proceedings of the 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, held in Canberra, ACT, Australia, during December 1…

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Next Generation AI Language Models in Research

In this comprehensive and cutting-edge volume, Qureshi and Jeon bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potentia…

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Artificial Intelligence in Modeling and Simulation

Simulation Foundations, Methods and Applications

Simulation and artificial intelligence are becoming a single, powerful ecosystem for understanding and shaping the world. From digital twins and reinforcement learning to large language models and synthet…

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Mohammad Nauman
Keras 3

Harness the power of AI with this guide to using Keras! Start by reviewing the fundamentals of deep learning and installing the Keras API. Next, follow Python code examples to build your own models, and t…

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Sebastian Raschka
Build a Reasoning Model (from Scratch)

Get the eBook free when you register your print book at Manning."An exceptional deep dive into the next frontier of AI." ---Aman Chadha, GoogleThis book is a practical guide to understanding how…

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Katsushi Ikeuchi, Naoki Wake, Jun Takamatsu, Kazuhiro Sasabuchi
Learning-from-Observation 2.0

Synthesis Lectures on Computer Vision

This book presents recent breakthroughs in the field of Learning-from-Observation (LfO) resulting from advancement in large language models (LLM) and reinforcement learning (RL) and positions it in the co…

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Martin Kearns,
The Pearl Method

Most productivity books hand you a shiny framework and wish you luck. This one was built through real-world execution.After 20 years helping Australian organisations cut through the noise of management fa…

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Derek D. Reed, Gregory J. Madden
An Introduction to Behavior Analysis

The latest edition of the gold standard in introductory behavior analysis textsIn the newly revised second edition of An Introduction to Behavior Analysis, a team of experienced researchers delivers an en…

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