Safe Inverse Reinforcement Learning via Control Barrier Function

6 December 2022

Papers citing "Safe Inverse Reinforcement Learning via Control Barrier Function"

21 / 21 papers shown

Title
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations Yuping Luo Tengyu Ma OffRL 43 43 0 04 Aug 2021
Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function Haitong Ma Jianyu Chen Shengbo Eben Li Ziyu Lin Yang Guan Yangang Ren Sifa Zheng 14 64 0 02 Mar 2021
Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates Zengyi Qin Kai Zhang Yuxiao Chen Jingkai Chen Chuchu Fan 23 131 0 14 Jan 2021
Learning Hybrid Control Barrier Functions from Data Lars Lindemann Haimin Hu Alexander Robey Hanwen Zhang Dimos V. Dimarogonas Stephen Tu Nikolai Matni 58 51 0 08 Nov 2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression Letian Chen Rohan R. Paleja Matthew C. Gombolay SSL 24 108 0 17 Oct 2020
Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions Jason J. Choi F. Castañeda Claire Tomlin Koushil Sreenath 24 181 0 16 Apr 2020
Learning Control Barrier Functions from Expert Demonstrations Alexander Robey Haimin Hu Lars Lindemann Hanwen Zhang Dimos V. Dimarogonas Stephen Tu Nikolai Matni 56 206 0 07 Apr 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals Xue Bin Peng Erwin Coumans Tingnan Zhang T. Lee Jie Tan Sergey Levine 84 502 0 02 Apr 2020
Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach Mohit Srinivasan A. Dabholkar Samuel Coogan Patricio Vela 37 127 0 10 Mar 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 41 101 0 21 Feb 2020
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation Letian Chen Rohan R. Paleja Muyleng Ghuy Matthew C. Gombolay 76 38 0 02 Jan 2020
Deep Bayesian Reward Learning from Preferences Daniel S. Brown S. Niekum BDL 22 34 0 10 Dec 2019
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 214 497 0 08 Apr 2018
Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage H. Pham Hung M. La David Feil-Seifer L. Nguyen 20 96 0 20 Mar 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 94 746 0 30 Oct 2017
Safe Reinforcement Learning via Shielding Mohammed Alshiekh Roderick Bloem Rüdiger Ehlers Bettina Könighofer S. Niekum Ufuk Topcu 38 682 0 29 Aug 2017
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 183 931 0 07 Jul 2017
Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning Daniel S. Brown S. Niekum BDL OffRL 41 42 0 03 Jul 2017
Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning David Isele Reza Rahimi Akansel Cosgun K. Subramanian K. Fujimura 44 137 0 02 May 2017
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach Shun Yang Wenshuo Wang Chang-rui Liu W. Deng J. Hedrick 37 44 0 28 Mar 2017
Autonomous Braking System via Deep Reinforcement Learning Hyunmin Chae C. Kang Byeoungdo Kim Jaekyum Kim C. Chung J. Choi 42 125 0 08 Feb 2017