<h2>Overview:</h2>
<p>The "World on Rails" repository contains the code for the technical report "Learning to drive from a world on rails" by Dian Chen, Vladlen Koltun, and Philipp Krähenbühl. The repository provides resources for training agents to drive in the CARLA simulator environment. The code includes pre-computed Q values in the dataset along with instructions for setting up the environment and training the models. The content focuses on training agents for driving tasks using machine learning techniques.</p>
<h2>Features:</h2>
<ul>
<li><strong>Pre-computed Q values:</strong> Includes pre-computed Q values in the dataset for driving tasks.</li>
<li><strong>CARLA Setup:</strong> Provides instructions for setting up CARLA and training the models.</li>
<li><strong>Training Guides:</strong> Includes guides for training the World-on-Rails and LBC agents.</li>
<li><strong>Evaluation Instructions:</strong> Guidelines for evaluating the pretrained weights with specific launch configurations.</li>
<li><strong>Leaderboard Routes:</strong> Provides routes for evaluating performance with options for different agents.</li>
<li><strong>Dataset Release:</strong> Offers the data trained for the leaderboard tasks.</li>
<li><strong>Acknowledgements:</strong> Credits original sources for leaderboard and scenario runner codes.</li>
<li><strong>License:</strong> Released under the MIT License along with references to other licenses.</li>
</ul>


Dotchen

WorldOnRails