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

Building learning environments for real-world RL

This recipe will teach you how to set up and build WebGym, a World of Bits (WoB)-based OpenAI Gym compatible learning platform for training RL Agents for world wide web-based real-world tasks. WoB is an open domain platform for web-based Agents. For more information about WoB, check out the following link: http://proceedings.mlr.press/v70/shi17a/shi17a.pdf.

WebGym provides learning environments for Agents to perceive the world wide web how we (humans) perceive it – using the pixels rendered on our display screen. The Agent interacts with the environment using keyboard and mouse events as actions. This allows the Agent to experience the world wide web how we do, which means we don't need to make any additional modifications for the Agents to train. This allows us to train RL Agents that can directly work with web-based pages and applications to complete real-world tasks.

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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

Building learning environments for real-world RL

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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