ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.11575
  4. Cited By
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing

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

22 March 2021
James Herman
Jonathan M Francis
Siddha Ganju
Bingqing Chen
Anirudh Koul
Abhinav Gupta
Alexey Skabelkin
Ivan Zhukov
Max Kumskoy
Eric Nyberg
ArXivPDFHTML

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

13 / 13 papers shown
Title
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review
Joshua Ransiek
Philipp Reis
Tobias Schürmann
Eric Sax
75
0
0
21 Sep 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Milan Ganai
Sicun Gao
Sylvia L. Herbert
37
6
0
12 Jul 2024
Distribution-aware Goal Prediction and Conformant Model-based Planning
  for Safe Autonomous Driving
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
29
5
0
16 Dec 2022
Evaluating Model-free Reinforcement Learning toward Safety-critical
  Tasks
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks
Linrui Zhang
Q. Zhang
Li Shen
Bo Yuan
Xueqian Wang
Dacheng Tao
OffRL
35
26
0
12 Dec 2022
Planning with RL and episodic-memory behavioral priors
Planning with RL and episodic-memory behavioral priors
Shivansh Beohar
Andrew Melnik
OffRL
OnRL
25
9
0
05 Jul 2022
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent
  Space
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space
Shivansh Beohar
Fabian Heinrich
Rahul Kala
Helge J. Ritter
Andrew Melnik
30
6
0
04 Jul 2022
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and
  Cross-domain Generalisation in Autonomous Racing
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
13
12
0
05 May 2022
MicroRacer: a didactic environment for Deep Reinforcement Learning
MicroRacer: a didactic environment for Deep Reinforcement Learning
Andrea Asperti
Marco Del Brutto
27
0
0
20 Mar 2022
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
Johannes Betz
Hongrui Zheng
Alexander Liniger
Ugo Rosolia
Phillip Karle
Madhur Behl
V. Krovi
Rahul Mangharam
35
212
0
14 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A
  Methodological Perspective
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding
Chejian Xu
Mansur Arief
Hao-ming Lin
Bo-wen Li
Ding Zhao
30
144
0
04 Feb 2022
Safe Autonomous Racing via Approximate Reachability on Ego-vision
Safe Autonomous Racing via Approximate Reachability on Ego-vision
Bingqing Chen
Jonathan M Francis
Jean Oh
Eric Nyberg
Sylvia L. Herbert
56
14
0
14 Oct 2021
Core Challenges in Embodied Vision-Language Planning
Core Challenges in Embodied Vision-Language Planning
Jonathan M Francis
Nariaki Kitamura
Felix Labelle
Xiaopeng Lu
Ingrid Navarro
Jean Oh
LM&Ro
47
45
0
26 Jun 2021
Diverse and Admissible Trajectory Forecasting through Multimodal Context
  Understanding
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
136
119
0
06 Mar 2020
1