You're reading from TensorFlow 2 Reinforcement Learning Cookbook

Product typeBook

Published inJan 2021

Reading LevelExpert

PublisherPackt

ISBN-139781838982546

Edition1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Reinforcement Learning

Author (1)

Palanisamy P

Deploying RL agents on mobile devices

Mobile is the most-targeted platform due to its high customer reach compared to other platforms. The global mobile application market size is projected to reach USD 407.32 billion by 2026 according to https://www.alliedmarketresearch.com/mobile-application-market. Such a huge market opens several opportunities for infusing RL-based Artificial Intelligence. Android and iOS are the two main OS platforms in this space. While IOS is a popular platform, building apps for iOS requires a Mac to develop the apps. We will therefore develop an Android app using the Android SDK, which is more widely accessible. If you are an iOS app developer, you may be able to adapt parts of this recipe to your app.

This recipe provides ways for you to deploy trained RL agent models on mobile and/or IoT devices using the TensorFLow Lite framework. You will also have access to a sample RL Table Tennis Android app that you can use as a testbed to deploy your RL agent or...

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TensorFlow 2 Reinforcement Learning Cookbook

Published in: Jan 2021Publisher: PacktISBN-13: 9781838982546

Author (1)

Palanisamy P

Praveen Palanisamy works on developing autonomous intelligent systems. He is currently an AI researcher at General Motors R&D. He develops planning and decision-making algorithms and systems that use deep reinforcement learning for autonomous driving. Previously, he was at the Robotics Institute, Carnegie Mellon University, where he worked on autonomous navigation, including perception and AI for mobile robots. He has experience developing complete, autonomous, robotic systems from scratch.
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You're reading from TensorFlow 2 Reinforcement Learning Cookbook

Deploying RL agents on mobile devices

Unlock this book and the full library FREE for 7 days

Author (1)

Hands-On Intelligent Agents with OpenAI Gym

TensorFlow Reinforcement Learning Quick Start Guide

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Reinforcement Learning Algorithms with Python

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Deep Reinforcement Learning Hands-On

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