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Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries

Key Features

  • Implement Q-learning and Markov models with Python and OpenAI
  • Explore the power of TensorFlow to build self-learning models
  • Eight AI...
Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Dive deeper into neural networks and get your models trained, optimized with this quick reference guide

Key Features

  • A quick reference to all important deep learning concepts and their implementations
  • Essential tips, tricks, and hacks to train a variety of deep learning...
Learn Unity ML-Agents - Fundamentals of Unity Machine Learning: Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games
Learn Unity ML-Agents - Fundamentals of Unity Machine Learning: Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games

Transform games into environments using machine learning and Deep learning with Tensorflow, Keras, and Unity

Key Features

  • Learn how to apply core machine learning concepts to your games with Unity
  • Learn the Fundamentals of Reinforcement Learning and Q-Learning and apply...
Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#
Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#
Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples, so you can learn...
Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow

A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python

Key Features

  • Enter the world of artificial intelligence using the power of Python
  • An example-rich guide to master various RL and DRL algorithms
  • Explore...
Unity 2018 Artificial Intelligence Cookbook: Over 90 recipes to build and customize AI entities for your games with Unity, 2nd Edition
Unity 2018 Artificial Intelligence Cookbook: Over 90 recipes to build and customize AI entities for your games with Unity, 2nd Edition

Explore various recipes to build games using popular artificial intelligence techniques and algorithms such as Navmesh navigation A*, DFS, and UCB1

Key Features

  • Explore different algorithms for creating decision-making agents that go beyond simple behaviors and movement
  • ...
Unity 2017 Game AI Programming - Third Edition: Leverage the power of Artificial Intelligence to program smart entities for your games
Unity 2017 Game AI Programming - Third Edition: Leverage the power of Artificial Intelligence to program smart entities for your games

Use Unity 2017 to create fun and unbelievable AI entities in your games with A*, Fuzzy logic and NavMesh

Key Features

  • Explore the brand-new Unity 2017 features that makes implementing Artificial Intelligence in your game easier than ever
  • Use fuzzy logic concepts in your AI...
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.

Key Features

  • Explore deep reinforcement learning (RL), from the first principles to the latest algorithms
  • Evaluate high-profile RL methods, including value...
Legal Programming: Designing Legally Compliant RFID and Software Agent Architectures for Retail Processes and Beyond
Legal Programming: Designing Legally Compliant RFID and Software Agent Architectures for Retail Processes and Beyond
"Thought-provoking and far-sighted, this book provides a detailed analysis of the legal issues involved in on-line business and how a new generation of electronic agents can help. If you’re grappling with these issues today—or if you just want to see what’s coming tomorrow—this book is an excellent place to...
Advanced Computational Intelligence Paradigms in Healthcare - 1 (Studies in Computational Intelligence)
Advanced Computational Intelligence Paradigms in Healthcare - 1 (Studies in Computational Intelligence)
This book presents some of the most recent research results on the applications of computational intelligence in healthcare. The contents include: Information model for management of clinical content; State-based model for management of type II diabetes; Case-based reasoning in medicine; Assessing the quality of care in artificial intelligence...
Building Chatbots with Python: Using Natural Language Processing and Machine Learning
Building Chatbots with Python: Using Natural Language Processing and Machine Learning
Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for...
Intelligent Complex Adaptive Systems
Intelligent Complex Adaptive Systems
I don’t believe in the existence of a complex systems theory as such and, so far, I’m still referring to complex systems science (CSS) in order to describe my research endeavours. In my view, the latter is constituted, up until now, by a bundle of loosely connected methods and theories aiming to observe— from...
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