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"

50 / 187 papers shown

Title
Safe Offline Reinforcement Learning with Real-Time Budget Constraints Qian Lin Bo Tang Zifan Wu Chao Yu Shangqin Mao Qianlong Xie Xingxing Wang Dong Wang OffRL 34 11 0 01 Jun 2023
ROSARL: Reward-Only Safe Reinforcement Learning Geraud Nangue Tasse Tamlin Love Mark W. Nemecek Steven D. James Benjamin Rosman 21 3 0 31 May 2023
Constrained Proximal Policy Optimization Chengbin Xuan Feng Zhang Faliang Yin H. Lam 16 0 0 23 May 2023
Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning Oswin So Chuchu Fan 17 23 0 23 May 2023
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research Jiaming Ji Jiayi Zhou Borong Zhang Juntao Dai Xuehai Pan Ruiyang Sun Weidong Huang Yiran Geng Mickel Liu Yaodong Yang OffRL 72 47 0 16 May 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning Tuomas Haarnoja Ben Moran Guy Lever Sandy H. Huang Dhruva Tirumala ... Andrea Huber N. Hurley F. Nori R. Hadsell N. Heess 32 140 0 26 Apr 2023
Evolving Constrained Reinforcement Learning Policy Chengpeng Hu Jiyuan Pei Jialin Liu Xinghu Yao 11 1 0 19 Apr 2023
Safe MDP Planning by Learning Temporal Patterns of Undesirable Trajectories and Averting Negative Side Effects Siow Meng Low Akshat Kumar Scott Sanner 11 2 0 06 Apr 2023
Energy-Efficient Cellular-Connected UAV Swarm Control Optimization Yang Su Hui Zhou Yansha Deng M. Dohler 6 5 0 18 Mar 2023
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning Nick Bührer Zhejun Zhang Alexander Liniger F. I. F. Richard Yu Luc Van Gool 24 1 0 07 Mar 2023
Reducing Safety Interventions in Provably Safe Reinforcement Learning Jakob Thumm Guillaume Pelat Matthias Althoff 17 3 0 06 Mar 2023
Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation Davide Corsi Luca Marzari Ameya Pore Alessandro Farinelli A. Casals Paolo Fiorini Diego DallÁlba 27 9 0 06 Mar 2023
Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications Zikang Xiong Daniel Lawson Joe Eappen A. H. Qureshi Suresh Jagannathan 13 0 0 02 Mar 2023
Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization Haotian Xu Shengjie Wang Zhaolei Wang Yunzhe Zhang Qing Zhuo Yang Gao Tao Zhang 16 0 0 28 Feb 2023
Constrained Reinforcement Learning using Distributional Representation for Trustworthy Quadrotor UAV Tracking Control Yanran Wang David E. Boyle 25 8 0 22 Feb 2023
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning Yu Lu Arunesh Sinha Pradeep Varakantham 19 0 0 21 Feb 2023
Safe Deep Reinforcement Learning by Verifying Task-Level Properties Enrico Marchesini Luca Marzari Alessandro Farinelli Chris Amato OffRL 16 13 0 20 Feb 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 31 46 0 14 Feb 2023
Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation Luca Marzari Enrico Marchesini Alessandro Farinelli OffRL 19 12 0 13 Feb 2023
Provably Safe Reinforcement Learning with Step-wise Violation Constraints Nuoya Xiong Yihan Du Longbo Huang 15 9 0 13 Feb 2023
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs Theodore H. Moskovitz Brendan O'Donoghue Vivek Veeriah Sebastian Flennerhag Satinder Singh Tom Zahavy 42 19 0 02 Feb 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees James Queeney E. C. Ozcan I. Paschalidis Christos G. Cassandras OOD OffRL 29 5 0 31 Jan 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning James Queeney M. Benosman OOD OffRL 33 5 0 30 Jan 2023
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints Dohyeong Kim Kyungjae Lee Songhwai Oh 16 9 0 26 Jan 2023
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning Tairan He Weiye Zhao Changliu Liu OffRL 21 17 0 24 Jan 2023
Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks Piotr Kicki Puze Liu Davide Tateo Haitham Bou-Ammar Krzysztof Walas Piotr Skrzypczyñski Jan Peters 17 15 0 11 Jan 2023
A Policy Optimization Method Towards Optimal-time Stability Shengjie Wang Lan Fengb Xiang Zheng Yu-wen Cao Oluwatosin Oseni Haotian Xu Tao Zhang Yang Gao 28 1 0 02 Jan 2023
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability Whiyoung Jung Myungsik Cho Jongeui Park Young-Jin Sung 25 4 0 28 Nov 2022
Job Scheduling in Datacenters using Constraint Controlled RL V. Venkataswamy 11 1 0 10 Nov 2022
Provable Safe Reinforcement Learning with Binary Feedback Andrew Bennett Dipendra Kumar Misra Nathan Kallus OffRL 28 4 0 26 Oct 2022
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm Ashish Kumar Jayant S. Bhatnagar OffRL 13 37 0 14 Oct 2022
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation Yannick Hogewind T. D. Simão Tal Kachman N. Jansen 16 10 0 02 Oct 2022
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments Yixuan Wang S. Zhan Ruochen Jiao Zhilu Wang Wanxin Jin Zhuoran Yang Zhaoran Wang Chao Huang Qi Zhu 24 48 0 29 Sep 2022
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction Puze Liu Kuo Zhang Davide Tateo Snehal Jauhri Zhiyuan Hu Jan Peters Georgia Chalvatzaki 39 17 0 27 Sep 2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation Kang Xu Yan Ma Bingsheng Wei Wei Li 27 3 0 24 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 71 45 0 16 Sep 2022
Robust Constrained Reinforcement Learning Yue Wang Fei Miao Shaofeng Zou 31 12 0 14 Sep 2022
A Learning System for Motion Planning of Free-Float Dual-Arm Space Manipulator towards Non-Cooperative Object Shengjie Wang Yu-wen Cao Xiang Zheng Tao Zhang 14 16 0 06 Jul 2022
Effects of Safety State Augmentation on Safe Exploration Aivar Sootla Alexander I. Cowen-Rivers Jun Wang H. Ammar OffRL 22 0 0 06 Jun 2022
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs Dongsheng Ding K. Zhang Jiali Duan Tamer Bacsar Mihailo R. Jovanović 18 19 0 06 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Bo-wen Li Ding Zhao OOD OffRL 37 35 0 29 May 2022
Verifying Learning-Based Robotic Navigation Systems Guy Amir Davide Corsi Raz Yerushalmi Luca Marzari D. Harel Alessandro Farinelli Guy Katz 92 37 0 26 May 2022
Penalized Proximal Policy Optimization for Safe Reinforcement Learning Linrui Zhang Li Shen Long Yang Shi-Yong Chen Bo Yuan Xueqian Wang Dacheng Tao 11 62 0 24 May 2022
Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking Hanna Krasowski Jakob Thumm Marlon Müller Lukas Schäfer Xiao Wang Matthias Althoff 80 19 0 13 May 2022
Towards Painless Policy Optimization for Constrained MDPs Arushi Jain Sharan Vaswani Reza Babanezhad Csaba Szepesvári Doina Precup 22 7 0 11 Apr 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 11 2 0 22 Mar 2022
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies Lukas M. Schmidt Sebastian Rietsch Axel Plinge Bjoern M. Eskofier Christopher Mutschler OffRL 24 5 0 16 Mar 2022
Safe Reinforcement Learning for Legged Locomotion Tsung-Yen Yang Tingnan Zhang Linda Luu Sehoon Ha Jie Tan Wenhao Yu 21 40 0 05 Mar 2022
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization Quanyi Li Zhenghao Peng Bolei Zhou 77 35 0 17 Feb 2022
Safe Reinforcement Learning by Imagining the Near Future G. Thomas Yuping Luo Tengyu Ma OffRL 6 82 0 15 Feb 2022