Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones

29 October 2020

Papers citing "Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones"

31 / 31 papers shown

Title
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL Zhikun Tao Gang Xiong He Fang Zhen Shen Yunjun Han Qing-Shan Jia OffRL 102 0 0 13 May 2025
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning J. Brahmanage Jiajing Ling Akshat Kumar 97 0 0 08 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yue Yang Xiao Lin Zhipeng Zhao SSL 133 10 0 28 Jan 2025
NavRL: Learning Safe Flight in Dynamic Environments Zhefan Xu Xinming Han Haoyu Shen Hanyu Jin Kenji Shimada 98 6 0 24 Sep 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model Zhehua Zhou Xuan Xie Jiayang Song Zhan Shu Lei Ma 78 1 0 06 Jun 2024
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding Daniel Bethell Simos Gerasimou R. Calinescu Calum Imrie OffRL OnRL 106 0 0 28 May 2024
Learning to be Safe: Deep RL with a Safety Critic K. Srinivasan Benjamin Eysenbach Sehoon Ha Jie Tan Chelsea Finn OffRL 73 144 0 27 Oct 2020
Goal-Aware Prediction: Learning to Model What Matters Suraj Nair Silvio Savarese Chelsea Finn 62 65 0 14 Jul 2020
Efficiently Calibrating Cable-Driven Surgical Robots with RGBD Fiducial Sensing and Recurrent Neural Networks M. Hwang Brijen Thananjeyan Samuel Paradis Daniel Seita Jeffrey Ichnowski Danyal Fer Thomas Low Ken Goldberg 98 4 0 19 Mar 2020
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions Brijen Thananjeyan Ashwin Balakrishna Ugo Rosolia Joseph E. Gonzalez Aaron D. Ames Ken Goldberg 62 13 0 03 Mar 2020
Worst Cases Policy Gradients Yichuan Tang Jian Zhang Ruslan Salakhutdinov 56 75 0 09 Nov 2019
Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics Shuo Li Osbert Bastani 53 86 0 24 Oct 2019
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 216 414 0 25 Sep 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 70 246 0 28 Jan 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 133 2,422 0 13 Dec 2018
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 108 386 0 03 Dec 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov A. Irpan P. Pastor Julian Ibarz Alexander Herzog ... Deirdre Quillen E. Holly Mrinal Kalakrishnan Vincent Vanhoucke Sergey Levine 113 1,460 0 27 Jun 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 221 1,277 0 30 May 2018
Reward Constrained Policy Optimization Chen Tessler D. Mankowitz Shie Mannor 80 540 0 28 May 2018
A Lyapunov-based Approach to Safe Reinforcement Learning Yinlam Chow Ofir Nachum Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 158 506 0 20 May 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 290 8,329 0 04 Jan 2018
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning Benjamin Eysenbach S. Gu Julian Ibarz Sergey Levine CLL 66 139 0 18 Nov 2017
Safe Reinforcement Learning via Shielding Mohammed Alshiekh Roderick Bloem Rüdiger Ehlers Bettina Könighofer S. Niekum Ufuk Topcu 79 687 0 29 Aug 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 110 1,322 0 30 May 2017
Safe Model-based Reinforcement Learning with Stability Guarantees Felix Berkenkamp M. Turchetta Angela P. Schoellig Andreas Krause 174 851 0 23 May 2017
A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems J. F. Fisac Anayo K. Akametalu Melanie Zeilinger Shahab Kaynama J. Gillula Claire Tomlin 58 497 0 03 May 2017
Learning Model Predictive Control for iterative tasks. A Data-Driven Control Framework Ugo Rosolia Francesco Borrelli 43 322 0 06 Sep 2016
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes M. Turchetta Felix Berkenkamp Andreas Krause 69 189 0 15 Jun 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,234 0 09 Sep 2015
Risk-sensitive Reinforcement Learning Yun Shen Michael J. Tobia T. Sommer Klaus Obermayer 88 320 0 08 Nov 2013
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints Peter Geibel F. Wysotzki 81 317 0 09 Sep 2011