Action Robust Reinforcement Learning and Applications in Continuous Control

26 January 2019

Papers citing "Action Robust Reinforcement Learning and Applications in Continuous Control"

50 / 134 papers shown

Title
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage Jose H. Blanchet Miao Lu Tong Zhang Han Zhong OffRL 42 29 0 16 May 2023
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers Lei Yuan Zifei Zhang Ke Xue Hao Yin F. Chen Cong Guan Lihe Li Chao Qian Yang Yu AAML 24 17 0 10 May 2023
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems Sihan Zeng Thinh T. Doan J. Romberg OffRL 27 3 0 23 Mar 2023
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization E. Derman Yevgeniy Men M. Geist Shie Mannor 42 1 0 12 Mar 2023
Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint Taisuke Kobayashi 31 3 0 08 Mar 2023
Can We Find Nash Equilibria at a Linear Rate in Markov Games? Zhuoqing Song Jason D. Lee Zhuoran Yang 29 8 0 03 Mar 2023
Policy Gradient for Rectangular Robust Markov Decision Processes Navdeep Kumar E. Derman M. Geist Kfir Y. Levy Shie Mannor 23 19 0 31 Jan 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees James Queeney E. C. Ozcan I. Paschalidis Christos G. Cassandras OOD OffRL 31 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
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 29 5 0 11 Jan 2023
Robust Average-Reward Markov Decision Processes Yue Wang Alvaro Velasquez George K. Atia Ashley Prater-Bennette Shaofeng Zou 36 11 0 02 Jan 2023
New Challenges in Reinforcement Learning: A Survey of Security and Privacy Yunjiao Lei Dayong Ye Sheng Shen Yulei Sui Tianqing Zhu Wanlei Zhou 33 18 0 31 Dec 2022
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Luca Demetrio Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 42 4 0 12 Dec 2022
Deep Reinforcement Learning with Vector Quantized Encoding Liang Zhang Justin Lieffers A. Pyarelal OffRL 11 2 0 12 Nov 2022
Are AlphaZero-like Agents Robust to Adversarial Perturbations? Li-Cheng Lan Huan Zhang Ti-Rong Wu Meng-Yu Tsai I-Chen Wu Cho-Jui Hsieh AAML 19 10 0 07 Nov 2022
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations Jiachen Hu Han Zhong Chi Jin Liwei Wang 22 7 0 27 Oct 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables Mengdi Xu Peide Huang Yaru Niu Visak C. V. Kumar Jielin Qiu ... Kuan-Hui Lee Xuewei Qi H. Lam Bo-wen Li Ding Zhao OOD 59 9 0 21 Oct 2022
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief Kaiyang Guo Yunfeng Shao Yanhui Geng OffRL 19 23 0 13 Oct 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 25 47 0 12 Oct 2022
Bounded Robustness in Reinforcement Learning via Lexicographic Objectives Daniel Jarne Ornia Licio Romao Lewis Hammond M. Mazo Alessandro Abate 14 0 0 30 Sep 2022
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning Kang Xu Yan Ma Wei Li 43 0 0 23 Sep 2022
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning Paul Rolland Luca Viano Norman Schuerhoff Boris Nikolov V. Cevher OffRL 37 13 0 22 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 74 45 0 16 Sep 2022
Red Teaming with Mind Reading: White-Box Adversarial Policies Against RL Agents Stephen Casper Taylor Killian Gabriel Kreiman Dylan Hadfield-Menell AAML 22 1 0 05 Sep 2022
Robust Reinforcement Learning using Offline Data Kishan Panaganti Zaiyan Xu D. Kalathil Mohammad Ghavamzadeh OffRL 34 66 0 10 Aug 2022
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments JB Lanier Stephen Marcus McAleer Pierre Baldi Roy Fox 22 9 0 19 Jul 2022
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang Jianhong Wang Joschka Boedecker 36 3 0 05 Jul 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Yanchao Sun Ruijie Zheng Parisa Hassanzadeh Yongyuan Liang S. Feizi Sumitra Ganesh Furong Huang AAML 28 10 0 21 Jun 2022
Robust Imitation Learning against Variations in Environment Dynamics Jongseong Chae Seungyul Han Whiyoung Jung Myungsik Cho Sungho Choi Young-Jin Sung OOD 35 19 0 19 Jun 2022
Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising Zikang Xiong Joe Eappen He Zhu Suresh Jagannathan AAML 12 10 0 14 Jun 2022
Robust Reinforcement Learning with Distributional Risk-averse formulation Pierre Clavier S. Allassonnière E. L. Pennec OOD 36 7 0 14 Jun 2022
Towards Autonomous Grading In The Real World Yakov Miron Chana Ross Yuval Goldfracht Chen Tessler Dotan Di Castro 30 2 0 13 Jun 2022
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret Stephen Marcus McAleer Gabriele Farina Marc Lanctot T. Sandholm 30 24 0 08 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 42 35 0 29 May 2022
Adversarial joint attacks on legged robots Takuto Otomo Hiroshi Kera K. Kawamoto AAML 23 1 0 20 May 2022
Policy Gradient Method For Robust Reinforcement Learning Yue Wang Shaofeng Zou 81 67 0 15 May 2022
Hysteresis-Based RL: Robustifying Reinforcement Learning-based Control Policies via Hybrid Control Jan de Priester R. Sanfelice N. van de Wouw 17 2 0 01 Apr 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training Peide Huang Mengdi Xu Fei Fang Ding Zhao 85 37 0 19 Feb 2022
Robust Reinforcement Learning via Genetic Curriculum Yeeho Song J. Schneider 21 9 0 17 Feb 2022
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 32 0 0 15 Feb 2022
Robust Policy Learning over Multiple Uncertainty Sets Annie Xie Shagun Sodhani Chelsea Finn Joelle Pineau Amy Zhang OOD OffRL 30 18 0 14 Feb 2022
Robust Learning from Observation with Model Misspecification Luca Viano Yu-ting Huang Parameswaran Kamalaruban Craig Innes S. Ramamoorthy Adrian Weller OOD 19 10 0 12 Feb 2022
Constrained Policy Optimization via Bayesian World Models Yarden As Ilnura N. Usmanova Sebastian Curi Andreas Krause OffRL 19 54 0 24 Jan 2022
TOAST: Trajectory Optimization and Simultaneous Tracking using Shared Neural Network Dynamics Taekyung Kim Hojin Lee S. Hong Wonsuk Lee 19 10 0 20 Jan 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 14 20 0 20 Dec 2021
Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction Yulin Zhang William Macke Jiaxun Cui Daniel Urieli Peter Stone 11 8 0 03 Dec 2021
Robust Deep Reinforcement Learning for Quadcopter Control Aditya M. Deshpande A. Minai Manish Kumar 38 18 0 06 Nov 2021
Twice regularized MDPs and the equivalence between robustness and regularization E. Derman M. Geist Shie Mannor 53 52 0 12 Oct 2021
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs Tianwei Ni Benjamin Eysenbach Ruslan Salakhutdinov 10 103 0 11 Oct 2021
Continuous-Time Fitted Value Iteration for Robust Policies M. Lutter Boris Belousov Shie Mannor D. Fox Animesh Garg Jan Peters 10 9 0 05 Oct 2021