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Robust Reinforcement Learning using Adversarial Populations

Robust Reinforcement Learning using Adversarial Populations

4 August 2020
Eugene Vinitsky
Yuqing Du
Kanaad Parvate
Kathy Jang
Pieter Abbeel
Alexandre M. Bayen
    AAML
ArXivPDFHTML

Papers citing "Robust Reinforcement Learning using Adversarial Populations"

50 / 54 papers shown
Title
Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination
Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination
D. Nguyen
Kai-Chieh Hsu
Wenhao Yu
Jie Tan
J. F. Fisac
49
6
0
17 Jan 2025
Solving robust MDPs as a sequence of static RL problems
Solving robust MDPs as a sequence of static RL problems
Adil Zouitine
Matthieu Geist
Emmanuel Rachelson
16
0
0
08 Oct 2024
Learning Robust Policies via Interpretable Hamilton-Jacobi
  Reachability-Guided Disturbances
Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided Disturbances
Hanyang Hu
Xilun Zhang
Xubo Lyu
Mo Chen
32
1
0
29 Sep 2024
RRLS : Robust Reinforcement Learning Suite
RRLS : Robust Reinforcement Learning Suite
Adil Zouitine
David Bertoin
Pierre Clavier
Matthieu Geist
Emmanuel Rachelson
OffRL
30
1
0
12 Jun 2024
Time-Constrained Robust MDPs
Time-Constrained Robust MDPs
Adil Zouitine
David Bertoin
Pierre Clavier
Matthieu Geist
Emmanuel Rachelson
OOD
29
0
0
12 Jun 2024
Characterization of Human Balance through a Reinforcement Learning-based
  Muscle Controller
Characterization of Human Balance through a Reinforcement Learning-based Muscle Controller
Kubra Akbas
Carlotta Mummolo
Xianlian Zhou
17
0
0
08 Aug 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled
  Perturbations
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
Yongyuan Liang
Yanchao Sun
Ruijie Zheng
Xiangyu Liu
Benjamin Eysenbach
T. Sandholm
Furong Huang
Stephen Marcus McAleer
OOD
35
0
0
22 Jul 2023
Robust Reinforcement Learning through Efficient Adversarial Herding
Robust Reinforcement Learning through Efficient Adversarial Herding
Juncheng Dong
Hao-Lun Hsu
Qitong Gao
Vahid Tarokh
Miroslav Pajic
16
4
0
12 Jun 2023
Online Nonstochastic Model-Free Reinforcement Learning
Online Nonstochastic Model-Free Reinforcement Learning
Udaya Ghai
Arushi Gupta
Wenhan Xia
Karan Singh
Elad Hazan
OffRL
31
6
0
27 May 2023
On Practical Robust Reinforcement Learning: Practical Uncertainty Set
  and Double-Agent Algorithm
On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm
Ukjo Hwang
Songnam Hong
12
0
0
11 May 2023
Robust multi-agent coordination via evolutionary generation of auxiliary
  adversarial attackers
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
16
0
10 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary
  Multi-Agent Adversary Generation
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Lei Yuan
F. Chen
Zhongzhan Zhang
Yang Yu
AAML
44
10
0
09 May 2023
Robust Multi-agent Communication via Multi-view Message Certification
Robust Multi-agent Communication via Multi-view Message Certification
Lei Yuan
T. Jiang
Lihe Li
F. Chen
Zongzhang Zhang
Yang Yu
32
2
0
07 May 2023
Toward Evaluating Robustness of Reinforcement Learning with Adversarial
  Policy
Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy
Jiawei Zhao
Xingjun Ma
Florian Schäfer
Xinyu Wang
Anima Anandkumar
Cong Wang
AAML
24
1
0
04 May 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial
  Traffic Flow
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow
Dongkun Zhang
Jintao Xue
Yuxiang Cui
Yunkai Wang
Eryun Liu
Wei Jing
Junbo Chen
R. Xiong
Yue Wang
27
0
0
25 Apr 2023
Provable Robustness for Streaming Models with a Sliding Window
Provable Robustness for Streaming Models with a Sliding Window
Aounon Kumar
Vinu Sankar Sadasivan
S. Feizi
OOD
AAML
AI4TS
11
1
0
28 Mar 2023
Connected Superlevel Set in (Deep) Reinforcement Learning and its
  Application to Minimax Theorems
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems
Sihan Zeng
Thinh T. Doan
J. Romberg
OffRL
20
3
0
23 Mar 2023
Improved Sample Complexity Bounds for Distributionally Robust
  Reinforcement Learning
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning
Zaiyan Xu
Kishan Panaganti
D. Kalathil
OOD
OffRL
16
30
0
05 Mar 2023
Automatic Noise Filtering with Dynamic Sparse Training in Deep
  Reinforcement Learning
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning
Bram Grooten
Ghada Sokar
Shibhansh Dohare
Elena Mocanu
Matthew E. Taylor
Mykola Pechenizkiy
D. Mocanu
4
11
0
13 Feb 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with
  Robustness Guarantees
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees
James Queeney
E. C. Ozcan
I. Paschalidis
Christos G. Cassandras
OOD
OffRL
29
5
0
31 Jan 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
20
5
0
30 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
Robust Average-Reward Markov Decision Processes
Robust Average-Reward Markov Decision Processes
Yue Wang
Alvaro Velasquez
George K. Atia
Ashley Prater-Bennette
Shaofeng Zou
31
11
0
02 Jan 2023
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
Smoothing Policy Iteration for Zero-sum Markov Games
Smoothing Policy Iteration for Zero-sum Markov Games
Yangang Ren
Yao Lyu
Wenxuan Wang
Sheng Li
Zeyang Li
Jingliang Duan
21
1
0
03 Dec 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
Distributionally Adaptive Meta Reinforcement Learning
Distributionally Adaptive Meta Reinforcement Learning
Anurag Ajay
Abhishek Gupta
Dibya Ghosh
Sergey Levine
Pulkit Agrawal
OOD
19
14
0
06 Oct 2022
Quantification before Selection: Active Dynamics Preference for Robust
  Reinforcement Learning
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning
Kang Xu
Yan Ma
Wei Li
22
0
0
23 Sep 2022
Robust Constrained Reinforcement Learning
Robust Constrained Reinforcement Learning
Yue Wang
Fei Miao
Shaofeng Zou
16
12
0
14 Sep 2022
Red Teaming with Mind Reading: White-Box Adversarial Policies Against RL
  Agents
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
Reducing Exploitability with Population Based Training
Reducing Exploitability with Population Based Training
Pavel Czempin
Adam Gleave
AAML
6
6
0
10 Aug 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
Chang Yang
Ruiyu Wang
Xinrun Wang
Zhen Wang
OffRL
19
3
0
07 Aug 2022
Feasible Adversarial Robust Reinforcement Learning for Underspecified
  Environments
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments
JB Lanier
Stephen Marcus McAleer
Pierre Baldi
Roy Fox
20
9
0
19 Jul 2022
Robust Reinforcement Learning in Continuous Control Tasks with
  Uncertainty Set Regularization
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization
Yuan Zhang
Jianhong Wang
Joschka Boedecker
29
3
0
05 Jul 2022
Robust Imitation Learning against Variations in Environment Dynamics
Robust Imitation Learning against Variations in Environment Dynamics
Jongseong Chae
Seungyul Han
Whiyoung Jung
Myungsik Cho
Sungho Choi
Young-Jin Sung
OOD
22
20
0
19 Jun 2022
A Search-Based Testing Approach for Deep Reinforcement Learning Agents
A Search-Based Testing Approach for Deep Reinforcement Learning Agents
Amirhossein Zolfagharian
Manel Abdellatif
Lionel C. Briand
M. Bagherzadeh
Ramesh S
32
27
0
15 Jun 2022
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
Rui Yang
Chenjia Bai
Xiaoteng Ma
Zhaoran Wang
Chongjie Zhang
Lei Han
OffRL
24
74
0
06 Jun 2022
Policy Gradient Method For Robust Reinforcement Learning
Policy Gradient Method For Robust Reinforcement Learning
Yue Wang
Shaofeng Zou
81
67
0
15 May 2022
Bridging Model-based Safety and Model-free Reinforcement Learning
  through System Identification of Low Dimensional Linear Models
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models
Zhongyu Li
Jun Zeng
A. Thirugnanam
K. Sreenath
11
16
0
11 May 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of
  Reinforcement Learning
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
9
2
0
22 Mar 2022
Safe adaptation in multiagent competition
Safe adaptation in multiagent competition
Macheng Shen
Jonathan P. How
TTA
9
1
0
14 Mar 2022
Robust Policy Learning over Multiple Uncertainty Sets
Robust Policy Learning over Multiple Uncertainty Sets
Annie Xie
Shagun Sodhani
Chelsea Finn
Joelle Pineau
Amy Zhang
OOD
OffRL
17
18
0
14 Feb 2022
Collaboration Promotes Group Resilience in Multi-Agent AI
Collaboration Promotes Group Resilience in Multi-Agent AI
Sarah Keren
M. Gerstgrasser
Ofir Abu
J. Rosenschein
11
0
0
12 Nov 2021
Adversarial Robustness with Semi-Infinite Constrained Learning
Adversarial Robustness with Semi-Infinite Constrained Learning
Alexander Robey
Luiz F. O. Chamon
George J. Pappas
Hamed Hassani
Alejandro Ribeiro
AAML
OOD
113
42
0
29 Oct 2021
Online Robust Reinforcement Learning with Model Uncertainty
Online Robust Reinforcement Learning with Model Uncertainty
Yue Wang
Shaofeng Zou
OOD
OffRL
68
96
0
29 Sep 2021
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based
  Control and Reinforcement Learning in Robotics
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics
Zhaocong Yuan
Adam W. Hall
Siqi Zhou
Lukas Brunke
Melissa Greeff
Jacopo Panerati
Angela P. Schoellig
OffRL
92
53
0
13 Sep 2021
Safe Learning in Robotics: From Learning-Based Control to Safe
  Reinforcement Learning
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
11
600
0
13 Aug 2021
Policy Smoothing for Provably Robust Reinforcement Learning
Policy Smoothing for Provably Robust Reinforcement Learning
Aounon Kumar
Alexander Levine
S. Feizi
AAML
10
54
0
21 Jun 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based
  Deep Reinforcement Learning
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
Sebastian Curi
Ilija Bogunovic
Andreas Krause
24
17
0
18 Mar 2021
Model-Based Domain Generalization
Model-Based Domain Generalization
Alexander Robey
George J. Pappas
Hamed Hassani
OOD
43
129
0
23 Feb 2021
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