Web: http://arxiv.org/abs/2205.02953

May 9, 2022, 1:11 a.m. | Jonathan Francis, Bingqing Chen, Siddha Ganju, Sidharth Kathpal, Jyotish Poonganam, Ayush Shivani, Sahika Genc, Ivan Zhukov, Max Kumskoy, Anirudh Koul

cs.LG updates on arXiv.org arxiv.org

We present the results of our autonomous racing virtual challenge, based on
the newly-released Learn-to-Race (L2R) simulation framework, which seeks to
encourage interdisciplinary research in autonomous driving and to help advance
the state of the art on a realistic benchmark. Analogous to racing being used
to test cutting-edge vehicles, we envision autonomous racing to serve as a
particularly challenging proving ground for autonomous agents as: (i) they need
to make sub-second, safety-critical decisions in a complex, fast-changing
environment; and (ii) …

2022 arxiv autonomous benchmarking challenge cross learning race racing

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