Responsive Safety in Reinforcement Learning by PID Lagrangian Methods

8 July 2020

Pieter Abbeel

Papers citing "Responsive Safety in Reinforcement Learning by PID Lagrangian Methods"

37 / 187 papers shown

Title
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation Aivar Sootla Alexander I. Cowen-Rivers Taher Jafferjee Ziyan Wang D. Mguni Jun Wang Haitham Bou-Ammar 16 54 0 14 Feb 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu Wei-ping Xu Haichao Zhang OffRL 69 31 0 28 Jan 2022
Joint Differentiable Optimization and Verification for Certified Reinforcement Learning Yixuan Wang S. Zhan Zhilu Wang Chao Huang Zhaoran Wang Zhuoran Yang Qi Zhu 16 22 0 28 Jan 2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning Zuxin Liu Zhepeng Cen Vladislav Isenbaev Wei Liu Zhiwei Steven Wu Bo-wen Li Ding Zhao 14 76 0 28 Jan 2022
Constrained Policy Optimization via Bayesian World Models Yarden As Ilnura N. Usmanova Sebastian Curi Andreas Krause OffRL 11 54 0 24 Jan 2022
Safe Deep RL in 3D Environments using Human Feedback Matthew Rahtz Vikrant Varma Ramana Kumar Zachary Kenton Shane Legg Jan Leike 26 4 0 20 Jan 2022
Conservative Distributional Reinforcement Learning with Safety Constraints Hengrui Zhang Youfang Lin Sheng Han Shuo Wang Kai Lv OffRL 19 5 0 18 Jan 2022
Direct Behavior Specification via Constrained Reinforcement Learning Julien Roy Roger Girgis Joshua Romoff Pierre-Luc Bacon C. Pal 22 34 0 22 Dec 2021
Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning Haitong Ma Changliu Liu Shengbo Eben Li Sifa Zheng Wen Sun Jianyu Chen 27 11 0 25 Nov 2021
Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning Haitong Ma Changliu Liu Shengbo Eben Li Sifa Zheng Jianyu Chen 14 43 0 15 Nov 2021
Policy Optimization for Constrained MDPs with Provable Fast Global Convergence Tao-Wen Liu Ruida Zhou D. Kalathil P. R. Kumar Chao Tian 22 19 0 31 Oct 2021
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention D. Mguni Usman Islam Taher Jafferjee Xiuling Zhang Joel Jennings Aivar Sootla Changmin Yu Ziyan Wang Jun Wang Yaodong Yang OffRL 26 7 0 27 Oct 2021
Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process Tianjiao Li Ziwei Guan Shaofeng Zou Tengyu Xu Yingbin Liang Guanghui Lan 21 26 0 20 Oct 2021
Safe Driving via Expert Guided Policy Optimization Zhenghao Peng Quanyi Li Chunxiao Liu Bolei Zhou OffRL 23 41 0 13 Oct 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning Quanyi Li Zhenghao Peng Lan Feng Qihang Zhang Zhenghai Xue Bolei Zhou 39 230 0 26 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 33 92 0 14 Sep 2021
Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian Baiyu Peng Jingliang Duan Jianyu Chen Shengbo Eben Li Genjin Xie Congsheng Zhang Yang Guan Yao Mu Enxin Sun 20 24 0 26 Aug 2021
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations Yuping Luo Tengyu Ma OffRL 26 43 0 04 Aug 2021
Lyapunov-based uncertainty-aware safe reinforcement learning Ashkan B. Jeddi Nariman L. Dehghani A. Shafieezadeh 14 7 0 29 Jul 2021
Safe Exploration by Solving Early Terminated MDP Hao Sun Ziping Xu Meng Fang Zhenghao Peng Jiadong Guo Bo Dai Bolei Zhou 11 16 0 09 Jul 2021
Density Constrained Reinforcement Learning Zengyi Qin Yuxiao Chen Chuchu Fan 17 35 0 24 Jun 2021
Safe Reinforcement Learning with Linear Function Approximation Sanae Amani Christos Thrampoulidis Lin F. Yang 6 35 0 11 Jun 2021
Average-Reward Reinforcement Learning with Trust Region Methods Xiaoteng Ma Xiao-Jing Tang Li Xia Jun Yang Qianchuan Zhao 14 16 0 07 Jun 2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs Tao-Wen Liu Ruida Zhou D. Kalathil P. R. Kumar Chao Tian 29 78 0 04 Jun 2021
Successive Convex Approximation Based Off-Policy Optimization for Constrained Reinforcement Learning Chang Tian An Liu Guang-Li Huang Wu Luo 11 12 0 26 May 2021
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety Haitong Ma Yang Guan Shegnbo Eben Li Xiangteng Zhang Sifa Zheng Jianyu Chen 40 37 0 22 May 2021
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning Baiyu Peng Yao Mu Jingliang Duan Yang Guan Shengbo Eben Li Jianyu Chen 53 19 0 17 Feb 2021
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients Chris Cundy Rishi Desai Stefano Ermon OffRL 33 4 0 30 Dec 2020
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee Tengyu Xu Yingbin Liang Guanghui Lan 34 121 0 11 Nov 2020
ControlVAE: Tuning, Analytical Properties, and Performance Analysis Huajie Shao Zhisheng Xiao Shuochao Yao Aston Zhang Shengzhong Liu Tarek F. Abdelzaher DRL 30 14 0 31 Oct 2020
Conservative Safety Critics for Exploration Homanga Bharadhwaj Aviral Kumar Nicholas Rhinehart Sergey Levine Florian Shkurti Animesh Garg OffRL 12 137 0 27 Oct 2020
Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method Zuxin Liu Hongyi Zhou Baiming Chen Sicheng Zhong M. Hebert Ding Zhao 14 11 0 15 Oct 2020
Safe Reinforcement Learning with Natural Language Constraints Tsung-Yen Yang Michael Y. Hu Yinlam Chow Peter J. Ramadge Karthik Narasimhan 17 29 0 11 Oct 2020
DynamicVAE: Decoupling Reconstruction Error and Disentangled Representation Learning Huajie Shao Haohong Lin Qinmin Yang Shuochao Yao Han Zhao Tarek F. Abdelzaher DRL 19 0 0 15 Sep 2020
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies Tsung-Yen Yang Justinian P. Rosca Karthik Narasimhan Peter J. Ramadge 21 18 0 20 Jun 2020
FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimize Chuangchuang Sun Dong-Ki Kim Jonathan P. How 19 7 0 19 Jun 2020
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization Dongsheng Ding Xiaohan Wei Zhuoran Yang Zhaoran Wang M. Jovanović 12 159 0 01 Mar 2020