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What is the Solution for State-Adversarial Multi-Agent Reinforcement
  Learning?

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?

6 December 2022
Songyang Han
Sanbao Su
Sihong He
Shuo Han
Haizhao Yang
Shaofeng Zou
Fei Miao
    AAML
ArXivPDFHTML

Papers citing "What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?"

20 / 20 papers shown
Title
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
Shangding Gu
Laixi Shi
Muning Wen
Ming Jin
Eric Mazumdar
Yuejie Chi
Adam Wierman
C. Spanos
OOD
OffRL
36
1
0
27 Feb 2025
Robust Multi-Agent Reinforcement Learning via Adversarial
  Regularization: Theoretical Foundation and Stable Algorithms
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms
Alexander Bukharin
Yan Li
Yue Yu
Qingru Zhang
Zhehui Chen
Simiao Zuo
Chao Zhang
Songan Zhang
Tuo Zhao
OOD
AAML
25
17
0
16 Oct 2023
Robustness to Multi-Modal Environment Uncertainty in MARL using
  Curriculum Learning
Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning
Aakriti Agrawal
R. Aralikatti
Yanchao Sun
Furong Huang
23
0
0
12 Oct 2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
Xidong Wu
Jianhui Sun
Zhengmian Hu
Aidong Zhang
Heng-Chiao Huang
FedML
105
12
0
05 Oct 2023
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand
  System: A Multi-Agent Reinforcement Learning Approach
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach
Sihong He
Shuo Han
Fei Miao
50
8
0
30 Jul 2023
PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement
  Learning in Social Dilemmas
PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas
Shahab Nikkhoo
Zexin Li
Aritra Samanta
Yufei Li
Cong Liu
30
6
0
29 Jul 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious
  Correlation
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
27
18
0
15 Jul 2023
Enhancing the Robustness of QMIX against State-adversarial Attacks
Enhancing the Robustness of QMIX against State-adversarial Attacks
Weiran Guo
Guanjun Liu
Ziyuan Zhou
Ling Wang
Jiacun Wang
AAML
32
7
0
03 Jul 2023
Robustness Testing for Multi-Agent Reinforcement Learning: State
  Perturbations on Critical Agents
Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents
Ziyuan Zhou
Guanjun Liu
AAML
21
7
0
09 Jun 2023
The Curious Price of Distributional Robustness in Reinforcement Learning
  with a Generative Model
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
Laixi Shi
Gen Li
Yuting Wei
Yuxin Chen
M. Geist
Yuejie Chi
OOD
30
31
0
26 May 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary
  Prospects, and Challenges
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
33
14
0
17 May 2023
Collaborative Multi-Object Tracking with Conformal Uncertainty
  Propagation
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation
Sanbao Su
Songyang Han
Yiming Li
Zhili Zhang
Chen Feng
Caiwen Ding
Fei Miao
VOT
33
23
0
25 Mar 2023
A Systematic Survey of Control Techniques and Applications in Connected
  and Automated Vehicles
A Systematic Survey of Control Techniques and Applications in Connected and Automated Vehicles
Wei Liu
Mingya Hua
Zhi-Guo Deng
Zonglin Meng
Yanjun Huang
...
Changsheng Liu
Bin Shuai
Amir Khajepour
Lu Xiong
Xin Xia
41
63
0
10 Mar 2023
A Robust and Constrained Multi-Agent Reinforcement Learning Electric
  Vehicle Rebalancing Method in AMoD Systems
A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems
Sihong He
Yue Wang
Shuo Han
Shaofeng Zou
Fei Miao
35
11
0
17 Sep 2022
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via
  Convex Relaxation
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation
Chuangchuang Sun
Dong-Ki Kim
Jonathan P. How
AAML
31
19
0
14 Sep 2021
Robust Reinforcement Learning on State Observations with Learned Optimal
  Adversary
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang
Hongge Chen
Duane S. Boning
Cho-Jui Hsieh
67
162
0
21 Jan 2021
Value-Decomposition Multi-Agent Actor-Critics
Value-Decomposition Multi-Agent Actor-Critics
Jianyu Su
Stephen C. Adams
Peter A. Beling
68
101
0
24 Jul 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline
  Population Synthesis
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Aman Sinha
Matthew O'Kelly
Hongrui Zheng
Rahul Mangharam
John C. Duchi
Russ Tedrake
OffRL
66
26
0
09 Mar 2020
On the Robustness of Cooperative Multi-Agent Reinforcement Learning
On the Robustness of Cooperative Multi-Agent Reinforcement Learning
Jieyu Lin
Kristina Dzeparoska
S. Zhang
A. Leon-Garcia
Nicolas Papernot
AAML
69
65
0
08 Mar 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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