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Robust Adversarial Reinforcement Learning

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 / 142 papers shown
Title
Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation
Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation
Harry Mead
Clarissa Costen
Bruno Lacerda
Nick Hawes
24
0
0
29 Apr 2025
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning
Chan Kim
Seung-Woo Seo
Seong-Woo Kim
OODD
134
0
0
21 Mar 2025
Generalizable Image Repair for Robust Visual Autonomous Racing
Carson Sobolewski
Zhenjiang Mao
Kshitij Vejre
Ivan Ruchkin
50
0
0
07 Mar 2025
Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control
Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control
T. Lee
Donghwan Lee
35
0
0
28 Feb 2025
Evolution and The Knightian Blindspot of Machine Learning
Evolution and The Knightian Blindspot of Machine Learning
Joel Lehman
Elliot Meyerson
Tarek El-Gaaly
Kenneth O. Stanley
Tarin Ziyaee
84
1
0
22 Jan 2025
Learning Transparent Reward Models via Unsupervised Feature Selection
Learning Transparent Reward Models via Unsupervised Feature Selection
Daulet Baimukashev
G. Alcan
K. Luck
Ville Kyrki
SSL
OffRL
31
0
0
24 Oct 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
C. Voelcker
Marcel Hussing
Eric Eaton
Amir-massoud Farahmand
Igor Gilitschenski
39
1
0
11 Oct 2024
Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates
Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates
F. Akkerman
Nils Knofius
Matthieu van der Heijden
M. Mes
21
1
0
04 Oct 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
Taisuke Kobayashi
63
2
0
29 Sep 2024
Autonomous Driving at Unsignalized Intersections: A Review of
  Decision-Making Challenges and Reinforcement Learning-Based Solutions
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions
Mohammad K. Al-Sharman
Luc Edes
Bert Sun
Vishal Jayakumar
Mohamed A. Daoud
Derek Rayside
W. Melek
24
1
0
20 Sep 2024
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning
Alihan Hüyük
A. R. Koblitz
Atefeh Mohajeri
M. Andrews
OffRL
30
0
0
19 Sep 2024
Decentralized and Asymmetric Multi-Agent Learning in Construction Sites
Decentralized and Asymmetric Multi-Agent Learning in Construction Sites
Yakov Miron
Dan Navon
Yuval Goldfracht
Dotan Di Castro
Itzik Klein
30
0
0
16 Sep 2024
Structured Graph Network for Constrained Robot Crowd Navigation with Low
  Fidelity Simulation
Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation
Shuijing Liu
Kaiwen Hong
Neeloy Chakraborty
Katherine Driggs-Campbell
53
0
0
27 May 2024
A Survey on Vision-Language-Action Models for Embodied AI
A Survey on Vision-Language-Action Models for Embodied AI
Yueen Ma
Zixing Song
Yuzheng Zhuang
Jianye Hao
Irwin King
LM&Ro
67
41
0
23 May 2024
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against
  Perturbation
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation
Xulin Chen
Ruipeng Liu
Garret E. Katz
37
0
0
22 Apr 2024
Distributionally Robust Reinforcement Learning with Interactive Data
  Collection: Fundamental Hardness and Near-Optimal Algorithm
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm
Miao Lu
Han Zhong
Tong Zhang
Jose H. Blanchet
OffRL
OOD
71
4
0
04 Apr 2024
Aligning Human Intent from Imperfect Demonstrations with
  Confidence-based Inverse soft-Q Learning
Aligning Human Intent from Imperfect Demonstrations with Confidence-based Inverse soft-Q Learning
Xizhou Bu
Wenjuan Li
Zhengxiong Liu
Zhiqiang Ma
Panfeng Huang
20
1
0
18 Dec 2023
SDGym: Low-Code Reinforcement Learning Environments using System
  Dynamics Models
SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models
Emmanuel Klu
Sameer Sethi
DJ Passey
Donald Martin
AI4CE
SyDa
21
0
0
19 Oct 2023
Distributionally Robust Model-based Reinforcement Learning with Large
  State Spaces
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces
Shyam Sundhar Ramesh
Pier Giuseppe Sessa
Yifan Hu
Andreas Krause
Ilija Bogunovic
OOD
34
10
0
05 Sep 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep
  Reinforcement Learning
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning
Md Masudur Rahman
Yexiang Xue
16
3
0
29 Aug 2023
Distributed Extra-gradient with Optimal Complexity and Communication
  Guarantees
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees
Ali Ramezani-Kebrya
Kimon Antonakopoulos
Igor Krawczuk
Justin Deschenaux
V. Cevher
32
2
0
17 Aug 2023
Isolation and Induction: Training Robust Deep Neural Networks against
  Model Stealing Attacks
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks
Jun Guo
Aishan Liu
Xingyu Zheng
Siyuan Liang
Yisong Xiao
Yichao Wu
Xianglong Liu
AAML
30
12
0
02 Aug 2023
Worrisome Properties of Neural Network Controllers and Their Symbolic
  Representations
Worrisome Properties of Neural Network Controllers and Their Symbolic Representations
J. Cyranka
Kevin E. M. Church
J. Lessard
29
0
0
28 Jul 2023
MatrixWorld: A pursuit-evasion platform for safe multi-agent
  coordination and autocurricula
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula
Lijun Sun
Yu-Cheng Chang
Chao Lyu
Chin-Teng Lin
Yuhui Shi
31
1
0
27 Jul 2023
Decomposing the Generalization Gap in Imitation Learning for Visual
  Robotic Manipulation
Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation
Annie Xie
Lisa Lee
Ted Xiao
Chelsea Finn
21
54
0
07 Jul 2023
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust
  Sim2Real Policy Transfer in Robot Control
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control
M. Malmir
Josip Josifovski
Noah Klarmann
Alois C. Knoll
24
2
0
15 Jun 2023
Double Pessimism is Provably Efficient for Distributionally Robust
  Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
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
37
29
0
16 May 2023
A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource
  Allocation
A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation
Steffen Gracla
C. Bockelmann
Armin Dekorsy
8
3
0
25 Apr 2023
Robust Deep Reinforcement Learning Scheduling via Weight Anchoring
Robust Deep Reinforcement Learning Scheduling via Weight Anchoring
Steffen Gracla
Edgar Beck
C. Bockelmann
Armin Dekorsy
OOD
19
3
0
20 Apr 2023
Facilitating Sim-to-real by Intrinsic Stochasticity of Real-Time
  Simulation in Reinforcement Learning for Robot Manipulation
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
D. Richert
H. Najjaran
30
3
0
12 Apr 2023
Convex Optimization-based Policy Adaptation to Compensate for
  Distributional Shifts
Convex Optimization-based Policy Adaptation to Compensate for Distributional Shifts
Navid Hashemi
Justin Ruths
Jyotirmoy V. Deshmukh
19
0
0
05 Apr 2023
Decentralized Adversarial Training over Graphs
Decentralized Adversarial Training over Graphs
Ying Cao
Elsa Rizk
Stefan Vlaski
A. H. Sayed
AAML
35
1
0
23 Mar 2023
Twice Regularized Markov Decision Processes: The Equivalence between
  Robustness and Regularization
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization
E. Derman
Yevgeniy Men
M. Geist
Shie Mannor
29
1
0
12 Mar 2023
Multi-Agent Adversarial Training Using Diffusion Learning
Multi-Agent Adversarial Training Using Diffusion Learning
Ying Cao
Elsa Rizk
Stefan Vlaski
A. H. Sayed
DiffM
27
4
0
03 Mar 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian
Arash Nasr-Esfahany
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
CLL
OffRL
40
0
0
04 Feb 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe
  Reinforcement Learning
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning
James Queeney
M. Benosman
OOD
OffRL
25
5
0
30 Jan 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Ido Greenberg
Shie Mannor
Gal Chechik
E. Meirom
OffRL
OOD
19
6
0
26 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent
  Reinforcement Learning
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Maxwell Standen
Junae Kim
Claudia Szabo
AAML
27
5
0
11 Jan 2023
Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal
  Abstractions
Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal Abstractions
Thom S. Badings
Licio Romao
Alessandro Abate
David Parker
Hasan A. Poonawala
Marielle Stoelinga
N. Jansen
19
36
0
04 Jan 2023
New Challenges in Reinforcement Learning: A Survey of Security and
  Privacy
New Challenges in Reinforcement Learning: A Survey of Security and Privacy
Yunjiao Lei
Dayong Ye
Sheng Shen
Yulei Sui
Tianqing Zhu
Wanlei Zhou
28
18
0
31 Dec 2022
Risk-Sensitive Policy with Distributional Reinforcement Learning
Risk-Sensitive Policy with Distributional Reinforcement Learning
Thibaut Théate
D. Ernst
OffRL
28
5
0
30 Dec 2022
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement
  Learning
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning
A. Rahman
Arnab Bhattacharya
Thiagarajan Ramachandran
Sayak Mukherjee
Himanshu Sharma
Ted Fujimoto
Samrat Chatterjee
14
5
0
20 Dec 2022
Training Robots to Evaluate Robots: Example-Based Interactive Reward
  Functions for Policy Learning
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning
Kun-Yen Huang
E. Hu
Dinesh Jayaraman
OffRL
26
5
0
17 Dec 2022
A Survey on Reinforcement Learning Security with Application to
  Autonomous Driving
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
34
4
0
12 Dec 2022
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via
  Model Checking
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking
Dennis Gross
T. D. Simão
N. Jansen
G. Pérez
AAML
38
2
0
10 Dec 2022
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
Kai Hsu
D. Nguyen
J. F. Fisac
15
30
0
06 Dec 2022
Double Deep Q-Learning in Opponent Modeling
Double Deep Q-Learning in Opponent Modeling
Yangtianze Tao
J. Doe
19
3
0
24 Nov 2022
Adversarial Cheap Talk
Adversarial Cheap Talk
Chris Xiaoxuan Lu
Timon Willi
Alistair Letcher
Jakob N. Foerster
AAML
16
17
0
20 Nov 2022
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness
  to Model Misspecification
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification
Takumi Tanabe
Reimi Sato
Kazuto Fukuchi
Jun Sakuma
Youhei Akimoto
OffRL
19
8
0
07 Nov 2022
Characterising the Robustness of Reinforcement Learning for Continuous
  Control using Disturbance Injection
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection
Catherine R. Glossop
Jacopo Panerati
A. Krishnan
Zhaocong Yuan
Angela P. Schoellig
8
6
0
27 Oct 2022
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