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Hands-On Intelligent Agents with OpenAI Gym

decision making and control tasks. Hands-On Intelligent Agents with OpenAI Gym takes you through the process of building intelligent agent;

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Hands-On Reinforcement Learning with Python

advanced deep reinforcement learning algorithms. The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and;

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Python Reinforcement Learning

OpenAI Gym, and TensorFlow. You will then explore various RL algorithms, such as Markov Decision Process, Monte Carlo methods, and dynamic;

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Applied Reinforcement Learning with Python

Implement reinforcement learning with Python Work with AI frameworks such as OpenAI Gym, Tensorflow, and Keras Deploy and train reinforcement;

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Deep Reinforcement Learning Hands-On

such as Connect4. The book provides an introduction to the basics of RL, giving you the know-how to code intelligent learning agents to take on;

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TensorFlow 2 Reinforcement Learning Cookbook

OpenAI Gym, model-based RL, model-free RL, and how to develop basic agents. You'll discover how to implement advanced deep reinforcement learning;

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Intelligent Virtual Agents

evaluating intelligent virtual agents (IVAs) with a focus on communicative abilities and social behavior.;

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Industrial Agents

Technical Committee on Industrial Agents who represent both academic and industry perspectives and share the latest research along with their hands;

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Intelligent Agent Software Engineering

can be supported by theories and practice. This work focuses on addressing the theories and practices associated with implementing intelligent;

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The The Reinforcement Learning Workshop

solve challenging problems using reinforcement learning. What you will learn Use OpenAI Gym as a framework to implement RL environments;

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Hands-On Reinforcement Learning for Games

Explore reinforcement learning (RL) techniques to build cutting-edge games using Python libraries such as PyTorch, OpenAI Gym, and;

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Python Reinforcement Learning Projects

and Markov models with Python and OpenAI Explore the power of TensorFlow to build self-learning models Eight AI projects to gain confidence;

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The Design of Intelligent Agents

This monograph presents a comprehensive state-of-the-art survey on approaches to the design of intelligent agents. On the theoretical side;

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Intelligent Virtual Agents

This book constitutes the proceedings of the 16th International Conference on Intelligent Virtual Agents, IVA 2016, held in Los Angeles, CA;

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Reinforcement Learning Algorithms with Python

-world applications, and be part of the RL research community. What you will learn Develop an agent to play CartPole using the OpenAI Gym;

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Intelligent Software Agents

2 chapter contains examples of intelligent agents, arranged according to their appli- cation areas. Chapter 7 closes with a prospective;

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Management and Intelligent Decision Making in Complex Systems An Optimization D

In this book, the authors focus on three aspects related to the development of articulated agents: presenting an overview of high-level;

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Knowledge Mining Using Intelligent Agents

through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and;

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Building Intelligent Agents

Building Intelligent Agents is unique in its comprehensive coverage of the subject. The first part of the book presents an original theory;

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Hands-On Deep Learning for Games

-driving cars and chatbots. Then we introduce deep reinforcement learning through the multi-armed bandit problem and other OpenAI Gym environments;

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Intelligent Virtual Agents

This book constitutes the proceedings of the 13th International Conference on Intelligent Virtual Agents, IVA 2013, held in Edinburgh, UK;

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Intelligent Virtual Agents

This book constitutes the proceedings of the 15th International Conference on Intelligent Virtual Agents, IVA 2015, held in Delft, The;

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Human Cognition and Social Agent Technology

life agents, contributions to agent design from artistic practice, and a Cognitive Technology view on living with socially intelligent agents;

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Agents and Multi-Agent Systems for Health Care

This book contains revised and extended selected papers from two workshops: the 10th International Workshop on Agents Applied in Health;

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An Introduction to Multiagent Systems

-operate effectively with one another in large-scale systems * Introduces the main issues surrounding the design of intelligent agents

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Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection

This book constitutes the refereed proceedings of the 11 workshops co-located with the 16th International Conference on Practical;

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Hands-On Genetic Algorithms with Python

reinforcement learning tasks using OpenAI Gym Explore how images can be reconstructed using a set of semi-transparent shapes Discover other bio-inspired;

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