foundations of deep reinforcement learning

Artificial Intelligence: What You Need to Know About Machine Learning Robotics Deep Learning Recommender Systems Internet of Things Neural Networks Reinforcement Learning and Our Future (Hardco

Are you confused about what all the rage behind artificial intelligence is and would like to learn more? This book covers everything from machine learning to robotics and the internet of things. You can use it as a nifty guidebook whenever you come... more

Computational Intelligence Methods and Applications: Applied Deep Learning: Tools Techniques and Implementation (Hardcover)

Part 1 Introduction and Overview.- Introduction.- Part 2 Foundations of Mashine Learning.- Fundamentals of Machine Learning.- Supervised Learning.- Un-Supervised Learning.- Performance Evaluation Metrics.- Part 3 Deep Learning Concepts and... more

Foundations and Trends(r) in Machine Learning: Risk-Sensitive Reinforcement Learning via Policy Gradient Search (Paperback)

Reinforcement learning (RL) is one of the foundational pillars of artificial intelligence and machine learning. An important consideration in any optimization or control problem is the notion of risk but its incorporation into RL has been a fairly... more

Deep Reinforcement Learning appliqué aux télécommunications (Paperback)

Le Deep Reinforcement Learning est appliqué à la stratégie de connectivité 5G. Des simulations python sur l alignement de faisceaux sont présentées (librairies Scikitlearn et Keras). Le Reinforcement Learning (RL) est une technique d... more

Machine Learning: Foundations Methodologies and Applications: Introduction to Transfer Learning: Algorithms and Practice (Hardcover)

Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another new domain. Over the years a number of relevant topics have... more

The Theory and Practice of Enterprise AI: Recipes and Reference Implementations for Marketing Supply Chain and Production Operations -- Ilya Katsov

Advancements in deep learning and reinforcement learning have dramatically extended the toolkit of machine learning methods available to enterprise practitioners. This book provides a comprehensive guide to how marketing supply chain and production... more

Deep Learning Foundations (Hardcover)

This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations deep machine learning deep neural networks and textual deep learning. The first part provides traditional supervised learning... more

Pre-Owned Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of (Paperback 9781838826994) by Maxim Lapan

9781838826994. Pre-Owned: Good condition. Paperback. 2nd Revised edition. Revised. Pages: 826. 826 p. Intended for professional and scholarly audience. New edition of the bestselling guide to deep reinforcement learning and how it s used to solve... more

Foundations and Trends(r) in Machine Learning: Model-based Reinforcement Learning: A Survey (Paperback)

Sequential decision making commonly formalized as Markov Decision Process (MDP) optimization is an important challenge in artificial intelligence. Two key approaches to this problem are reinforcement learning (RL) and planning. This monograph... more

Artificial Intelligence: Foundations of Computational Agents (Hardcover)

Fully revised and updated this third edition includes three new chapters on neural networks and deep learning including generative AI causality and the social ethical and regulatory impacts of artificial intelligence. All parts have been updated... more

Pre-Owned Artificial Intelligence Machine Learning and Deep Learning (Paperback 9781683924678) by Oswald Campesato

9781683924678. Pre-Owned: Good condition. Trade paperback. Language: English. Pages: 300. Trade paperback (US). Glued binding. 300 p. This book begins with an introduction to AI followed by machine learning deep learning NLP and reinforcement... more

Foundations and Trends(r) in Signal Processing: Learning with Limited Samples: Meta-Learning and Applications to Communication Systems (Paperback)

Deep learning has achieved remarkable success in many machine learning tasks such as image classification speech recognition and game playing. However these breakthroughs are often difficult to translate into real-world engineering systems because... more

Foundations and Trends(r) in Systems and Control: Synchronous Reinforcement Learning-Based Control for Cognitive Autonomy (Paperback)

This monograph describes the use of principles of reinforcement learning (RL) to design feedback policies for continuous-time dynamical systems that combine features of adaptive control and optimal control. In a control engineering context RL... more

Foundations and Trends(r) in Machine Learning: Reinforcement Learning Bit by Bit (Paperback)

Reinforcement learning agents have demonstrated remarkable achievements in simulated environments. Data efficiency however significantly impedes carrying this success over to real environments. The design of data-efficient agents that address this... more

Foundations and Trends(r) in Machine Learning: An Introduction to Variational Autoencoders (Paperback)

In this monograph the authors present an introduction to the framework of variational autoencoders (VAEs) that provides a principled method for jointly learning deep latent-variable models and corresponding inference models using stochastic gradient... more

Foundations and Trends(r) in Signal Processing: Deep Learning in Object Recognition Detection and Segmentation (Paperback)

As a major breakthrough in artificial intelligence deep learning has achieved impressive success on solving grand challenges in many fields including speech recognition natural language processing computer vision image and video processing and... more

Neural Networks with R: Build smart systems by implementing popular deep learning models in R (Paperback)

Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide Key Features Get started in the field of Machine Learning with the help of this solid concept-rich yet highly practical... more

Foundations and Trends(r) in Information Retrieval: Deep Learning for Matching in Search and Recommendation (Paperback)

Matching which is to measure the relevance of a document to a query or interest of a user to an item is a key problem in both search and recommendation. Machine learning has been exploited to address the problem and efforts have been made to develop... more

Pre-Owned Python Machine Learning: Machine Learning and Deep Learning with Python scikit-learn and TensorFlow 2 9781789955750 Paperback 3rd ed. edition

9781789955750. Pre-Owned: Good condition. Paperback. Edition: 3. Language: English. Intended for professional and scholarly audience. Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2 GANs and... more