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

Packaging Deep RL agents for mobile and IoT devices using TensorFlow Lite

This recipe will show how you can leverage the open source TensorFlow Lite (TFLite) framework for serving your Deep RL agents on mobile, IoT, and embedded devices. We will implement a complete script to build, train, and export an agent model that you can load into a mobile or embedded device. We will explore two methods to generate the TFLite model for our agent. The first method involves saving and exporting the agent models in TensorFlow's SavedModel file format and then using a command-line converter. The second method leverages the Python API to directly generate the TFLite models.

Let's get started!

Getting ready

To complete this recipe, you will first need to activate the tf2rl-cookbook Python/conda virtual environment. Make sure to update the environment to match the latest conda environment specification file (tfrl-cookbook.yml) in the cookbook's code repo. If the following imports...

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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.
Read more about Palanisamy P

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You're reading from TensorFlow 2 Reinforcement Learning Cookbook

Packaging Deep RL agents for mobile and IoT devices using TensorFlow Lite

Getting ready

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

Deep Reinforcement Learning with Python

Hands-On Reinforcement Learning with Python

Reinforcement learning is a self-evolving type of machine learning that takes us closer to achieving true artificial intelligence. This easy-to-follow guide explains everything from scratch using rich examples written in Python.

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Reinforcement Learning Algorithms with Python

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Deep Reinforcement Learning Hands-On

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