Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation
Fuente:
arXiv
Saved in:
| Main Authors: | Yamabe, Shojiro, Fukuchi, Kazuto, Sakuma, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability
by: Yamabe, Shojiro, et al.
Published: (2025)
by: Yamabe, Shojiro, et al.
Published: (2025)
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
by: Xu, Kaiwen, et al.
Published: (2023)
by: Xu, Kaiwen, et al.
Published: (2023)
Adversarial Attacks on Hidden Tasks in Multi-Task Learning
by: Zhe, Yu, et al.
Published: (2024)
by: Zhe, Yu, et al.
Published: (2024)
Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness
by: Takahashi, Tsubasa, et al.
Published: (2025)
by: Takahashi, Tsubasa, et al.
Published: (2025)
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
by: Fujikawa, Mitsuhiro, et al.
Published: (2024)
by: Fujikawa, Mitsuhiro, et al.
Published: (2024)
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space
by: Liu, Qianmei, et al.
Published: (2024)
by: Liu, Qianmei, et al.
Published: (2024)
Towards Robust Deep Reinforcement Learning against Environmental State Perturbation
by: Wang, Chenxu, et al.
Published: (2025)
by: Wang, Chenxu, et al.
Published: (2025)
Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey
by: Schott, Lucas, et al.
Published: (2024)
by: Schott, Lucas, et al.
Published: (2024)
A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning
by: Xie, Zhengpeng, et al.
Published: (2025)
by: Xie, Zhengpeng, et al.
Published: (2025)
Adversarial Diffusion for Robust Reinforcement Learning
by: Foffano, Daniele, et al.
Published: (2025)
by: Foffano, Daniele, et al.
Published: (2025)
Algorithms for Adversarially Robust Deep Learning
by: Robey, Alexander
Published: (2025)
by: Robey, Alexander
Published: (2025)
Meta Optimality for Demographic Parity Constrained Regression via Post-Processing
by: Fukuchi, Kazuto
Published: (2025)
by: Fukuchi, Kazuto
Published: (2025)
Towards Adversarially Robust Deep Metric Learning
by: Ke, Xiaopeng
Published: (2025)
by: Ke, Xiaopeng
Published: (2025)
Behavior-Consistent Deep Reinforcement Learning
by: Hussing, Marcel, et al.
Published: (2026)
by: Hussing, Marcel, et al.
Published: (2026)
ROKA: Robust Knowledge Unlearning against Adversaries
by: Shin, Jinmyeong, et al.
Published: (2026)
by: Shin, Jinmyeong, et al.
Published: (2026)
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
by: Nishiyama, Daiki, et al.
Published: (2022)
by: Nishiyama, Daiki, et al.
Published: (2022)
Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model
by: Herremans, Siemen, et al.
Published: (2024)
by: Herremans, Siemen, et al.
Published: (2024)
Robust off-policy Reinforcement Learning via Soft Constrained Adversary
by: Nakanishi, Kosuke, et al.
Published: (2024)
by: Nakanishi, Kosuke, et al.
Published: (2024)
Dynamic Adversarial Reinforcement Learning for Robust Multimodal Large Language Models
by: Bao, Yicheng, et al.
Published: (2026)
by: Bao, Yicheng, et al.
Published: (2026)
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization
by: Luu, Tung M., et al.
Published: (2024)
by: Luu, Tung M., et al.
Published: (2024)
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
by: Bai, Fengshuo, et al.
Published: (2024)
by: Bai, Fengshuo, et al.
Published: (2024)
Robust Adversarial Quantification via Conflict-Aware Evidential Deep Learning
by: Barker, Charmaine, et al.
Published: (2025)
by: Barker, Charmaine, et al.
Published: (2025)
Mastering the Game of Guandan with Deep Reinforcement Learning and Behavior Regulating
by: Yanggong, Yifan, et al.
Published: (2024)
by: Yanggong, Yifan, et al.
Published: (2024)
UACER: An Uncertainty-Adaptive Critic Ensemble Framework for Robust Adversarial Reinforcement Learning
by: Wu, Jiaxi, et al.
Published: (2025)
by: Wu, Jiaxi, et al.
Published: (2025)
Certified Robustness against Sparse Adversarial Perturbations via Data Localization
by: Pal, Ambar, et al.
Published: (2024)
by: Pal, Ambar, et al.
Published: (2024)
Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning
by: Wang, Longwei, et al.
Published: (2024)
by: Wang, Longwei, et al.
Published: (2024)
rSDNet: Unified Robust Neural Learning against Label Noise and Adversarial Attacks
by: Jana, Suryasis, et al.
Published: (2026)
by: Jana, Suryasis, et al.
Published: (2026)
Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach
by: Mohan, Adithya, et al.
Published: (2025)
by: Mohan, Adithya, et al.
Published: (2025)
MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models
by: Yamabe, Shojiro, et al.
Published: (2024)
by: Yamabe, Shojiro, et al.
Published: (2024)
Exploring Adversarial Robustness of Deep State Space Models
by: Qi, Biqing, et al.
Published: (2024)
by: Qi, Biqing, et al.
Published: (2024)
Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement Learning
by: Shinde, Aditya, et al.
Published: (2025)
by: Shinde, Aditya, et al.
Published: (2025)
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness
by: Wang, Dingrong, et al.
Published: (2024)
by: Wang, Dingrong, et al.
Published: (2024)
Scale-free Adversarial Reinforcement Learning
by: Chen, Mingyu, et al.
Published: (2024)
by: Chen, Mingyu, et al.
Published: (2024)
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
by: Nguyen, Thanh, et al.
Published: (2024)
by: Nguyen, Thanh, et al.
Published: (2024)
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach
by: Young, Rory, et al.
Published: (2024)
by: Young, Rory, et al.
Published: (2024)
Generative Modeling for Robust Deep Reinforcement Learning on the Traveling Salesman Problem
by: Li, Michael, et al.
Published: (2025)
by: Li, Michael, et al.
Published: (2025)
Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks
by: Zhang, Zongyuan, et al.
Published: (2025)
by: Zhang, Zongyuan, et al.
Published: (2025)
RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies
by: Behzadan, Vahid, et al.
Published: (2019)
by: Behzadan, Vahid, et al.
Published: (2019)
Maintaining Adversarial Robustness in Continuous Learning
by: Ru, Xiaolei, et al.
Published: (2024)
by: Ru, Xiaolei, et al.
Published: (2024)
Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2026)
by: Lee, Sunwoo, et al.
Published: (2026)
Similar Items
-
Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability
by: Yamabe, Shojiro, et al.
Published: (2025) -
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
by: Xu, Kaiwen, et al.
Published: (2023) -
Adversarial Attacks on Hidden Tasks in Multi-Task Learning
by: Zhe, Yu, et al.
Published: (2024) -
Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness
by: Takahashi, Tsubasa, et al.
Published: (2025) -
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
by: Fujikawa, Mitsuhiro, et al.
Published: (2024)