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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

5 May 2022
Jonathan M Francis
Bingqing Chen
Siddha Ganju
Sidharth Kathpal
Jyotish Poonganam
Ayush Shivani
Vrushank Vyas
Sahika Genc
Ivan Zhukov
Max Kumskoy
Anirudh Koul
Jean Oh
Eric Nyberg
ArXivPDFHTML

Papers citing "Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing"

9 / 9 papers shown
Title
Toward General-Purpose Robots via Foundation Models: A Survey and
  Meta-Analysis
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
Yafei Hu
Quanting Xie
Vidhi Jain
Jonathan M Francis
Jay Patrikar
...
Xiaolong Wang
Sebastian A. Scherer
Z. Kira
Fei Xia
Yonatan Bisk
LM&Ro
AI4CE
32
63
0
14 Dec 2023
SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory
  Prediction in Autonomous Driving
SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving
Ben Stoler
Ingrid Navarro
Meghdeep Jana
Soonmin Hwang
Jonathan M Francis
Jean Oh
16
8
0
16 Sep 2023
Towards Optimal Head-to-head Autonomous Racing with Curriculum
  Reinforcement Learning
Towards Optimal Head-to-head Autonomous Racing with Curriculum Reinforcement Learning
Dvij Kalaria
Qin Lin
John M. Dolan
24
2
0
25 Aug 2023
Enhancing State Estimator for Autonomous Racing : Leveraging Multi-modal
  System and Managing Computing Resources
Enhancing State Estimator for Autonomous Racing : Leveraging Multi-modal System and Managing Computing Resources
Daegyu Lee
Hyunwoo Nam
Chanhoe Ryu
Sun-Young Nah
Seongwoo Moon
David Hyunchul Shim
24
6
0
14 Aug 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal
  Discovery
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery
Peide Huang
Xilun Zhang
Ziang Cao
Shiqi Liu
Mengdi Xu
Wenhao Ding
Jonathan M Francis
Bingqing Chen
Ding Zhao
36
24
0
28 Jun 2023
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
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
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit
  Partial Observability
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh
Jad Rahme
Aviral Kumar
Amy Zhang
Ryan P. Adams
Sergey Levine
OffRL
275
109
0
13 Jul 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
1