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Robust Reinforcement Learning as a Stackelberg Game via
  Adaptively-Regularized Adversarial Training

Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training

19 February 2022
Peide Huang
Mengdi Xu
Fei Fang
Ding Zhao
ArXivPDFHTML

Papers citing "Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training"

22 / 22 papers shown
Title
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
37
1
0
29 Sep 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
71
2
0
29 Sep 2024
VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for
  Enhancing Autonomous Vehicle Robustness
VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle Robustness
Xuan Cai
Zhiyong Cui
Xuesong Bai
Ruimin Ke
Zhenshu Ma
Haiyang Yu
Yilong Ren
AAML
35
0
0
19 Sep 2024
ReLExS: Reinforcement Learning Explanations for Stackelberg No-Regret
  Learners
ReLExS: Reinforcement Learning Explanations for Stackelberg No-Regret Learners
Xiangge Huang
Jingyuan Li
Jiaqing Xie
28
0
0
26 Aug 2024
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in
  Autonomous Driving
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
Zhi Zheng
Shangding Gu
40
2
0
28 May 2024
Rethinking Teacher-Student Curriculum Learning through the Cooperative
  Mechanics of Experience
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience
Manfred Diaz
Liam Paull
Andrea Tacchetti
47
0
0
03 Apr 2024
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving
  Scenarios using Real-World Trajectories
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories
Peide Huang
Wenhao Ding
Jonathan M Francis
Bingqing Chen
Ding Zhao
37
4
0
19 Mar 2024
Leveraging Noisy Observations in Zero-Sum Games
Leveraging Noisy Observations in Zero-Sum Games
Emmanouil M. Athanasakos
S. Perlaza
34
0
0
05 Feb 2024
Improve Robustness of Reinforcement Learning against Observation
  Perturbations via $l_\infty$ Lipschitz Policy Networks
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞l_\inftyl∞​ Lipschitz Policy Networks
Buqing Nie
Jingtian Ji
Yangqing Fu
Yue Gao
37
4
0
14 Dec 2023
Stackelberg Driver Model for Continual Policy Improvement in
  Scenario-Based Closed-Loop Autonomous Driving
Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving
Haoyi Niu
Qimao Chen
Yingyue Li
Yi Zhang
Jianming Hu
40
3
0
25 Sep 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
40
0
0
22 Jul 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal
  Discovery
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery
Peide Huang
Xilun Zhang
Ziang Cao
Shiqi Liu
Mengdi Xu
Wenhao Ding
Jonathan M Francis
Bingqing Chen
Ding Zhao
36
24
0
28 Jun 2023
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital
  Twins, and Parallel Intelligence
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence
Xuemin Hu
Shen Li
Ting Huang
Bo Tang
Rouxing Huai
Long Chen
51
65
0
02 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
41
0
0
25 Apr 2023
Continual Vision-based Reinforcement Learning with Group Symmetries
Continual Vision-based Reinforcement Learning with Group Symmetries
Shiqi Liu
Mengdi Xu
Piede Huang
Yongkang Liu
K. Oguchi
Ding Zhao
CLL
VLM
45
10
0
21 Oct 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical
  Latent Variables
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
54
9
0
21 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual
  Domain Adaptation
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
41
24
0
18 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
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
Robust Reinforcement Learning using Offline Data
Robust Reinforcement Learning using Offline Data
Kishan Panaganti
Zaiyan Xu
D. Kalathil
Mohammad Ghavamzadeh
OffRL
32
66
0
10 Aug 2022
A Survey of Decision Making in Adversarial Games
A Survey of Decision Making in Adversarial Games
Xiuxian Li
Min Meng
Yiguang Hong
Jie-bin Chen
AAML
27
12
0
16 Jul 2022
Performative Reinforcement Learning
Performative Reinforcement Learning
Debmalya Mandal
Stelios Triantafyllou
Goran Radanović
30
17
0
30 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational
  Perturbations
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
39
35
0
29 May 2022
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