Praveen Palanisamy's Books

Hands-On Intelligent Agents with OpenAI Gym

Your guide to developing AI agents using deep reinforcement learning

By: Praveen Palanisamy

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Hands-On Intelligent Agents with OpenAI Gym

Your guide to developing AI agents using deep reinforcement learning

By: Praveen Palanisamy

Implement intelligent agents using PyTorch to solve classic AI problems, play console games like Atari, and perform tasks such as autonomous driving using the CARLA driving simulator Key Features Explore the OpenAI Gym toolkit and interface to use over 700 learning tasks Implement agents to solve simple to complex AI problems Study learning environments and discover how to create your own Book Description Many real-world problems can be broken down into tasks that require a series of decisions to be made or actions to be taken. The ability to solve such tasks without a machine being programmed requires a machine to be artificially intelligent and capable of learning to adapt. This book is an easy-to-follow guide to implementing learning algorithms for machine software agents in order to solve discrete or continuous sequential decision making and control tasks. Hands-On Intelligent Agents with OpenAI Gym takes you through the process of building intelligent agent algorithms using deep reinforcement learning starting from the implementation of the building blocks for configuring, training, logging, visualizing, testing, and monitoring the agent. You will walk through the process of building intelligent agents from scratch to perform a variety of tasks. In the closing chapters, the book provides an overview of the latest learning environments and learning algorithms, along with pointers to more resources that will help you take your deep reinforcement learning skills to the next level. What you will learn Explore intelligent agents and learning environments Understand the basics of RL and deep RL Get started with OpenAI Gym and PyTorch for deep reinforcement learning Discover deep Q learning agents to solve discrete optimal control tasks Create custom learning environments for real-world problems Apply a deep actor-critic agent to drive a car autonomously in CARLA Use the latest learning environments and algorithms to upgrade your intelligent agent development skills Who this book is for If you’re a student, game/machine learning developer, or AI enthusiast looking to get started with building intelligent agents and algorithms to solve a variety of problems with the OpenAI Gym interface, this book is for you. You will also find this book useful if you want to learn how to build deep reinforcement learning-based agents to solve problems in your domain of interest. Though the book covers all the basic concepts that you need to know, some working knowledge of Python programming language will help you get the most out of it.

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246

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1788835131

ISBN 13

9781788835138

TensorFlow 2 Reinforcement Learning Cookbook

Over 50 recipes to help you build, train, and deploy learning agents for real-world applications

By: Praveen Palanisamy

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TensorFlow 2 Reinforcement Learning Cookbook

Over 50 recipes to help you build, train, and deploy learning agents for real-world applications

By: Praveen Palanisamy

Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learning Key FeaturesDevelop and deploy deep reinforcement learning-based solutions to production pipelines, products, and servicesExplore popular reinforcement learning algorithms such as Q-learning, SARSA, and the actor-critic methodCustomize and build RL-based applications for performing real-world tasksBook Description With deep reinforcement learning, you can build intelligent agents, products, and services that can go beyond computer vision or perception to perform actions. TensorFlow 2.x is the latest major release of the most popular deep learning framework used to develop and train deep neural networks (DNNs). This book contains easy-to-follow recipes for leveraging TensorFlow 2.x to develop artificial intelligence applications. Starting with an introduction to the fundamentals of deep reinforcement learning and TensorFlow 2.x, the book covers OpenAI Gym, model-based RL, model-free RL, and how to develop basic agents. You'll discover how to implement advanced deep reinforcement learning algorithms such as actor-critic, deep deterministic policy gradients, deep-Q networks, proximal policy optimization, and deep recurrent Q-networks for training your RL agents. As you advance, you’ll explore the applications of reinforcement learning by building cryptocurrency trading agents, stock/share trading agents, and intelligent agents for automating task completion. Finally, you'll find out how to deploy deep reinforcement learning agents to the cloud and build cross-platform apps using TensorFlow 2.x. By the end of this TensorFlow book, you'll have gained a solid understanding of deep reinforcement learning algorithms and their implementations from scratch. What you will learnBuild deep reinforcement learning agents from scratch using the all-new TensorFlow 2.x and Keras APIImplement state-of-the-art deep reinforcement learning algorithms using minimal codeBuild, train, and package deep RL agents for cryptocurrency and stock tradingDeploy RL agents to the cloud and edge to test them by creating desktop, web, and mobile apps and cloud servicesSpeed up agent development using distributed DNN model trainingExplore distributed deep RL architectures and discover opportunities in AIaaS (AI as a Service)Who this book is for The book is for machine learning application developers, AI and applied AI researchers, data scientists, deep learning practitioners, and students with a basic understanding of reinforcement learning concepts who want to build, train, and deploy their own reinforcement learning systems from scratch using TensorFlow 2.x.

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473

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1838985999

ISBN 13

9781838985998

Hybrid Vegetable Development

By: Praveen K Singh,Shaibal K Dasgupta,Subodh K Tripathi

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Hybrid Vegetable Development

By: Praveen K Singh,Shaibal K Dasgupta,Subodh K Tripathi

Get all the resource information you need on hybrid vegetable developmentin one book! Discover the latest concepts in breeding and development of hybrid vegetables with Hybrid Vegetable Development. Respected authorities share their views on the most recent trends and the techniques used for hybrid vegetable development in various

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Page Count

460

Publisher

CRC Press

Published Date

ISBN 10

1482282860

ISBN 13

9781482282863

Advances in CLOT Treatment (ACT)

A Textbook of Cardiology

By: HK Chopra,Navin C Nanda,Jagat Narula,GS Wander,CN Manjunath,Praveen Chandra,Viveka Kumar,CK Ponde,AK Pancholia

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Advances in CLOT Treatment (ACT)

A Textbook of Cardiology

By: HK Chopra,Navin C Nanda,Jagat Narula,GS Wander,CN Manjunath,Praveen Chandra,Viveka Kumar,CK Ponde,AK Pancholia

SECTION 1: CLINICAL SECTION 2: DIAGNOSIS SECTION 3: TENECTEPLASE (TNK) AND CLOT TREATMENT SECTION 4: NOACs IN CLOT TREATMENT SECTION 5: THROMBOSIS AND CORONARY ARTERY DISEASE SECTION 6: THROMBOSIS AND HYPERTENSION SECTION 7: THROMBOSIS AND HEART FAILURE SECTION 8: THROMBOSIS AND DYSLIPIDEMIA SECTON 9: THROMBOSIS AND DIABETES MELLITUS SECTION 10: THROMBOSIS AND ARRHYTHMIA SECTION 11: THROMBOSIS AND CARDIOMYOPATHY SECTION 12: THROMBOSIS AND RHD SECTION 13: DVT SECTION 14: THROMBOSIS AND PAD SECTION 15: THROMBOSIS AND CAROTID ARTERY DISEASE SECTION 16: THROMBOSIS AND VERTEBRAL ARTERY DISEASE SECTION 17: THROMBOSIS AND STROKE INTRACEREBRAL ARTERIAL DISEASE SECTION 18: THROMBOSIS AND KIDNEY SECTION 19: THROMBOSIS AND CARDIAC SURGERY SECTION 20: THROMBOSIS AND CRITICAL CARE SECTION 21: THROMBOSIS IN EMERGENCY AND URGENT CARE SECTION 22: THROMBOSIS AND SEPSIS SECTION 23: THROMBOSIS AND WOMEN SECTION 24: THROMBOSIS AND EYE SECTION 25: THROMBOSIS AND LUNG SECTION 26: NOAC AND DRUGS INTERACTION SECTION 27: COVID-INFLICTED COAGULOPATHY SECTION 28: CLOT IN ECMO SECTION 29: THROMBOSIS AND COVID VACCINATION SECTION 30: THROMBOSIS AND NUTRITION SECTION 31: CARDIO-ONCOLOGY AND THROMBOSIS SECTION 32: POSTMITRAL CLIP THROMBOSIS SECTION 33: PEDIATRICS AND THROMBOSIS SECTION 34: SKIN AND THROMBOSIS SECTION 35: THROMBOSIS AND AVN SECTION 36: FUTURE DIRECTIONS IN THROMBOSIS CARE

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Page Count

981

Publisher

JP Medical Ltd

Published Date

ISBN 10

9356960941

ISBN 13

9789356960947

Hands-On Intelligent Agents with OpenAI Gym

Your guide to developing AI agents using deep reinforcement learning

By: Praveen Palanisamy

Write a review Read reviews Take a Quiz Solve Book Puzzle

Hands-On Intelligent Agents with OpenAI Gym

Your guide to developing AI agents using deep reinforcement learning

By: Praveen Palanisamy

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N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

246

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1788835131

ISBN 13

9781788835138

TensorFlow 2 Reinforcement Learning Cookbook

Over 50 recipes to help you build, train, and deploy learning agents for real-world applications

By: Praveen Palanisamy

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TensorFlow 2 Reinforcement Learning Cookbook

Over 50 recipes to help you build, train, and deploy learning agents for real-world applications

By: Praveen Palanisamy

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N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

473

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1838985999

ISBN 13

9781838985998

Book's by Praveen Palanisamy

Hands-On Intelligent Agents with OpenAI Gym

Hands-On Intelligent Agents with OpenAI Gym

TensorFlow 2 Reinforcement Learning Cookbook

TensorFlow 2 Reinforcement Learning Cookbook

Hybrid Vegetable Development

Hybrid Vegetable Development

Advances in CLOT Treatment (ACT)

Advances in CLOT Treatment (ACT)

Hands-On Intelligent Agents with OpenAI Gym

Hands-On Intelligent Agents with OpenAI Gym

TensorFlow 2 Reinforcement Learning Cookbook

TensorFlow 2 Reinforcement Learning Cookbook

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