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Safe Autonomous Racing via Approximate Reachability on Ego-vision

Safe Autonomous Racing via Approximate Reachability on Ego-vision

14 October 2021
Bingqing Chen
Jonathan M Francis
Jean Oh
Eric Nyberg
Sylvia L. Herbert
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Papers citing "Safe Autonomous Racing via Approximate Reachability on Ego-vision"

13 / 13 papers shown
Title
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
Benjamin Stoler
Ingrid Navarro
Jonathan M Francis
Jean Oh
AAML
60
4
0
16 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
32
6
0
12 Jul 2024
Learning safety critics via a non-contractive binary bellman operator
Learning safety critics via a non-contractive binary bellman operator
Agustin Castellano
Hancheng Min
J. Bazerque
Enrique Mallada
50
0
0
23 Jan 2024
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
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
24
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
33
26
0
12 Dec 2022
SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe
  Autonomous Driving
SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving
Linrui Zhang
Q. Zhang
Li Shen
Bo Yuan
Xueqian Wang
OffRL
23
9
0
17 Jun 2022
Reachability Constrained Reinforcement Learning
Reachability Constrained Reinforcement Learning
Dongjie Yu
Haitong Ma
Sheng Li
Jianyu Chen
63
54
0
16 May 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
11
11
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
19
0
0
20 Mar 2022
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and
  Generalization Guarantees
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees
Kai Hsu
Allen Z. Ren
D. Nguyen
Anirudha Majumdar
J. F. Fisac
OffRL
22
41
0
20 Jan 2022
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
41
45
0
26 Jun 2021
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