Learning Neural Control Barrier Functions from Offline Data with Conservatism

1 May 2025

Papers citing "Learning Neural Control Barrier Functions from Offline Data with Conservatism"

20 / 20 papers shown

Title
Estimating Control Barriers from Offline Data Hongzhan Yu Seth Farrell Ryo Yoshimitsu Zhizhen Qin Henrik I. Christensen Sicun Gao OffRL 73 3 0 21 Feb 2025
Your Learned Constraint is Secretly a Backward Reachable Tube Mohamad Qadri Gokul Swamy Jonathan Francis Michael Kaess Andrea Bajcsy 102 3 0 26 Jan 2025
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning G. Zhou Hengkai Pan Yann LeCun Lerrel Pinto VGen LM&Ro OffRL 91 25 0 07 Nov 2024
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion Tairan He Chong Zhang Wenli Xiao Guanqi He Changliu Liu Guanya Shi 102 71 0 31 Jan 2024
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark Jiaming Ji Borong Zhang Jiayi Zhou Xuehai Pan Weidong Huang Ruiyang Sun Yiran Geng Yifan Zhong Juntao Dai Yaodong Yang OffRL 112 71 0 19 Oct 2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning Zuxin Liu Zijian Guo Haohong Lin Yi-Fan Yao Jiacheng Zhu ... Hanjiang Hu Wenhao Yu Tingnan Zhang Jie Tan Ding Zhao OffRL 61 43 0 15 Jun 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning Zuxin Liu Zijian Guo Yi-Fan Yao Zhepeng Cen Wenhao Yu Tingnan Zhang Ding Zhao OffRL 65 52 0 14 Feb 2023
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States F. Castañeda Haruki Nishimura R. McAllister Koushil Sreenath Adrien Gaidon OffRL 76 16 0 27 Jan 2023
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving Wei Xiao Tsun-Hsuan Wang Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 81 26 0 04 Mar 2022
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations Lars Lindemann Alexander Robey Lejun Jiang Satyajeet Das Stephen Tu Nikolai Matni 101 43 0 18 Nov 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 288 910 0 12 Oct 2021
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson Zengyi Qin Sicun Gao Chuchu Fan 146 175 0 14 Sep 2021
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning Haoran Xu Xianyuan Zhan Xiangyu Zhu OffRL 65 90 0 19 Jul 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning Yue Wu Shuangfei Zhai Nitish Srivastava J. Susskind Jian Zhang Ruslan Salakhutdinov Hanlin Goh EDL OffRL OnRL 64 188 0 17 May 2021
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 140 1,824 0 08 Jun 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 223 1,377 0 15 Apr 2020
Behavior Regularized Offline Reinforcement Learning Yifan Wu George Tucker Ofir Nachum OffRL 92 687 0 26 Nov 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 132 1,060 0 03 Jun 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 234 1,613 0 07 Dec 2018
Some Applications of Polynomial Optimization in Operations Research and Real-Time Decision Making Amir Ali Ahmadi Anirudha Majumdar 58 74 0 22 Apr 2015