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1703.02702
Cited By
Robust Adversarial Reinforcement Learning
8 March 2017
Lerrel Pinto
James Davidson
Rahul Sukthankar
Abhinav Gupta
OOD
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Papers citing
"Robust Adversarial Reinforcement Learning"
50 / 182 papers shown
Title
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Generalizable Image Repair for Robust Visual Autonomous Racing
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LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
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Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions
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Luc Edes
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Mohamed A. Daoud
Derek Rayside
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Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning
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Decentralized and Asymmetric Multi-Agent Learning in Construction Sites
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Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation
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Neeloy Chakraborty
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Zixing Song
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Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation
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Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm
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Aligning Human Intent from Imperfect Demonstrations with Confidence-based Inverse soft-Q Learning
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Wenjuan Li
Zhengxiong Liu
Zhiqiang Ma
Panfeng Huang
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Where2Start: Leveraging initial States for Robust and Sample-Efficient Reinforcement Learning
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Raoof Zare Moayedi
Mohammad Bornosi
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Distributionally Robust Model-based Reinforcement Learning with Large State Spaces
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Pier Giuseppe Sessa
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Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning
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Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks
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Worrisome Properties of Neural Network Controllers and Their Symbolic Representations
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MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula
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Chao Lyu
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Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation
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Lisa Lee
Ted Xiao
Chelsea Finn
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DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control
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Josip Josifovski
Noah Klarmann
Alois C. Knoll
31
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15 Jun 2023
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
Jose H. Blanchet
Miao Lu
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Han Zhong
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42
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Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow
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Jintao Xue
Yuxiang Cui
Yunkai Wang
Eryun Liu
Wei Jing
Junbo Chen
R. Xiong
Yue Wang
41
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A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation
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Armin Dekorsy
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Robust Deep Reinforcement Learning Scheduling via Weight Anchoring
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Facilitating Sim-to-real by Intrinsic Stochasticity of Real-Time Simulation in Reinforcement Learning for Robot Manipulation
Ram Dershan
Amir M. Soufi Enayati
Zengjie Zhang
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30
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Convex Optimization-based Policy Adaptation to Compensate for Distributional Shifts
Navid Hashemi
Justin Ruths
Jyotirmoy V. Deshmukh
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Decentralized Adversarial Training over Graphs
Ying Cao
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
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40
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Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization
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Yevgeniy Men
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Shie Mannor
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Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning
Zaiyan Xu
Kishan Panaganti
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Multi-Agent Adversarial Training Using Diffusion Learning
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Elsa Rizk
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Regret-Based Defense in Adversarial Reinforcement Learning
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Online Reinforcement Learning in Non-Stationary Context-Driven Environments
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Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees
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I. Paschalidis
Christos G. Cassandras
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31
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Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning
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Train Hard, Fight Easy: Robust Meta Reinforcement Learning
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SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
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Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal Abstractions
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Marielle Stoelinga
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New Challenges in Reinforcement Learning: A Survey of Security and Privacy
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Risk-Sensitive Policy with Distributional Reinforcement Learning
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AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning
A. Rahman
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Thiagarajan Ramachandran
Sayak Mukherjee
Himanshu Sharma
Ted Fujimoto
Samrat Chatterjee
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20 Dec 2022
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