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Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees

31 January 2023

James Queeney

E. C. Ozcan

I. Paschalidis

Christos G. Cassandras

OOD

OffRL

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Papers citing "Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees"

32 / 32 papers shown

Title
A Survey of Reinforcement Learning for Optimization in Automation Ahmad Farooq Kamran Iqbal OffRL 146 2 0 13 Feb 2025
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Yue Liu Ding Zhao 134 47 0 16 Sep 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Yue Liu Ding Zhao OOD OffRL 91 36 0 29 May 2022
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization Yufei Kuang Miao Lu Jie Wang Qi Zhou Bin Li Houqiang Li 46 20 0 20 Dec 2021
Distributionally Robust Learning Ruidi Chen I. Paschalidis OOD 80 67 0 20 Aug 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 63 625 0 13 Aug 2021
Lyapunov Robust Constrained-MDPs: Soft-Constrained Robustly Stable Policy Optimization under Model Uncertainty R. Russel M. Benosman J. Baar Radu Corcodel 54 5 0 05 Aug 2021
Safe Reinforcement Learning Using Advantage-Based Intervention Nolan Wagener Byron Boots Ching-An Cheng 103 54 0 16 Jun 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 48 66 0 02 Mar 2021
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee Tengyu Xu Yingbin Liang Guanghui Lan 76 126 0 11 Nov 2020
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones Brijen Thananjeyan Ashwin Balakrishna Suraj Nair Michael Luo K. Srinivasan M. Hwang Joseph E. Gonzalez Julian Ibarz Chelsea Finn Ken Goldberg OffRL 77 227 0 29 Oct 2020
Learning to be Safe: Deep RL with a Safety Critic K. Srinivasan Benjamin Eysenbach Sehoon Ha Jie Tan Chelsea Finn OffRL 82 145 0 27 Oct 2020
Conservative Safety Critics for Exploration Homanga Bharadhwaj Aviral Kumar Nicholas Rhinehart Sergey Levine Florian Shkurti Animesh Garg OffRL 90 139 0 27 Oct 2020
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification D. Mankowitz D. A. Calian Rae Jeong Cosmin Paduraru N. Heess Sumanth Dathathri Martin Riedmiller Timothy A. Mann 82 14 0 20 Oct 2020
Robust Reinforcement Learning using Adversarial Populations Eugene Vinitsky Yuqing Du Kanaad Parvate Kathy Jang Pieter Abbeel Alexandre M. Bayen AAML 81 79 0 04 Aug 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke Joshua Achiam Pieter Abbeel 78 299 0 08 Jul 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 113 226 0 01 Jun 2020
Robust Reinforcement Learning with Wasserstein Constraint Linfang Hou Liang Pang Xin Hong Yanyan Lan Zhiming Ma Dawei Yin 55 25 0 01 Jun 2020
A Distributional View on Multi-Objective Policy Optimization A. Abdolmaleki Sandy H. Huang Leonard Hasenclever Michael Neunert H. F. Song Martina Zambelli M. Martins N. Heess R. Hadsell Martin Riedmiller 63 75 0 15 May 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Yue Liu Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 96 270 0 19 Mar 2020
Adversarial Risk via Optimal Transport and Optimal Couplings Muni Sreenivas Pydi Varun Jog 71 60 0 05 Dec 2019
Constrained Reinforcement Learning Has Zero Duality Gap Santiago Paternain Luiz F. O. Chamon Miguel Calvo-Fullana Alejandro Ribeiro 56 193 0 29 Oct 2019
Wasserstein Robust Reinforcement Learning Mohammed Abdullah Hang Ren Haitham Bou-Ammar Vladimir Milenkovic Rui Luo Mingtian Zhang Jun Wang 112 76 0 30 Jul 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 82 548 0 29 Apr 2019
Action Robust Reinforcement Learning and Applications in Continuous Control Chen Tessler Yonathan Efroni Shie Mannor 74 235 0 26 Jan 2019
Reward Constrained Policy Optimization Chen Tessler D. Mankowitz Shie Mannor 83 541 0 28 May 2018
Soft-Robust Actor-Critic Policy-Gradient E. Derman D. Mankowitz Timothy A. Mann Shie Mannor 49 64 0 11 Mar 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 48 440 0 26 Jan 2018
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 110 1,367 0 18 Oct 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 113 1,328 0 30 May 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 257 2,972 0 20 Mar 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 98 859 0 08 Mar 2017