Learn-to-Race: A Multimodal Control Environment for Autonomous Racing

Learn-to-Race: A Multimodal Control Environment for Autonomous Racing

22 March 2021

Jonathan M Francis

Alexey Skabelkin

Papers citing "Learn-to-Race: A Multimodal Control Environment for Autonomous Racing"

9 / 9 papers shown

Title
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review Joshua Ransiek Philipp Reis Tobias Schürmann Eric Sax 69 0 0 21 Sep 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey Milan Ganai Sicun Gao Sylvia L. Herbert 32 6 0 12 Jul 2024
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving Jonathan M Francis Bingqing Chen Weiran Yao Eric Nyberg Jean Oh OOD 21 5 0 16 Dec 2022
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks Linrui Zhang Q. Zhang Li Shen Bo Yuan Xueqian Wang Dacheng Tao OffRL 33 25 0 12 Dec 2022
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space Shivansh Beohar Fabian Heinrich Rahul Kala Helge J. Ritter Andrew Melnik 12 6 0 04 Jul 2022
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing Jonathan M Francis Bingqing Chen Siddha Ganju Sidharth Kathpal Jyotish Poonganam ... Ivan Zhukov Max Kumskoy Anirudh Koul Jean Oh Eric Nyberg 11 11 0 05 May 2022
MicroRacer: a didactic environment for Deep Reinforcement Learning Andrea Asperti Marco Del Brutto 13 0 0 20 Mar 2022
Core Challenges in Embodied Vision-Language Planning Jonathan M Francis Nariaki Kitamura Felix Labelle Xiaopeng Lu Ingrid Navarro Jean Oh LM&Ro 33 34 0 26 Jun 2021
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding Seonguk Park Gyubok Lee Manoj Bhat Jimin Seo Minseok Kang Jonathan M Francis Ashwin R. Jadhav Paul Pu Liang Louis-Philippe Morency 122 117 0 06 Mar 2020