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You're reading from  Hands-On Intelligent Agents with OpenAI Gym

Product typeBook
Published inJul 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788836579
Edition1st Edition
Languages
Python
Tools
OpenAI Gym
Concepts
Artificial Intelligence
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Palanisamy P
Palanisamy P
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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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Creating an OpenAI Gym-compatible CARLA driving simulator environment

CARLA is a driving simulator environment built on top of the UnrealEngine4 game engine with more realistic rendering compared to some of its competitors. You can read more about the CARLA simulator on their official website at https://carla.org. In this section, we will look into how we can create a custom OpenAI Gym-compatible car driving environment to train our learning agents. This is a fairly complex environment and requires a GPU to run—which is unlike other Gym environments we have seen so far. Once you understand how to create a custom environment interface that is Gym-compatible for CARLA, you may well have enough information to develop interfaces for any of your own custom environments, no matter how complex they might be.

The latest version of CARLA is CARLA 0.8.2. While most (if not all)...

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Hands-On Intelligent Agents with OpenAI Gym
Published in: Jul 2018Publisher: PacktISBN-13: 9781788836579
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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