Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Xiang, Ma, Xingjun, Wang, Shengjie, Wang, Xinyu, Shen, Chao, Wang, Cong |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RedRFT: A Light-Weight Benchmark for Reinforcement Fine-Tuning-Based Red Teaming
by: Zheng, Xiang, et al.
Published: (2025)
by: Zheng, Xiang, et al.
Published: (2025)
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
by: Xie, Yong, et al.
Published: (2024)
by: Xie, Yong, et al.
Published: (2024)
Constrained Intrinsic Motivation for Reinforcement Learning
by: Zheng, Xiang, et al.
Published: (2024)
by: Zheng, Xiang, et al.
Published: (2024)
Towards Optimal Adversarial Robust Reinforcement Learning with Infinity Measurement Error
by: Li, Haoran, et al.
Published: (2025)
by: Li, Haoran, et al.
Published: (2025)
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)
Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data
by: Madhow, Sunil, et al.
Published: (2023)
by: Madhow, Sunil, et al.
Published: (2023)
Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization
by: Nie, Buqing, et al.
Published: (2025)
by: Nie, Buqing, et al.
Published: (2025)
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
by: Ye, Chenlu, et al.
Published: (2024)
by: Ye, Chenlu, et al.
Published: (2024)
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback
by: Xiao, Teng, et al.
Published: (2024)
by: Xiao, Teng, et al.
Published: (2024)
Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks
by: Wang, Jihang, et al.
Published: (2025)
by: Wang, Jihang, et al.
Published: (2025)
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
by: Xue, Eric, et al.
Published: (2024)
by: Xue, Eric, et al.
Published: (2024)
Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization
by: Zhan, Simon Sinong, et al.
Published: (2025)
by: Zhan, Simon Sinong, et al.
Published: (2025)
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
by: Zhu, Kaijie, et al.
Published: (2023)
by: Zhu, Kaijie, et al.
Published: (2023)
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)
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)
On the Adversarial Transferability of Generalized "Skip Connections"
by: Wang, Yisen, et al.
Published: (2024)
by: Wang, Yisen, et al.
Published: (2024)
Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning
by: Liu, Weidong, et al.
Published: (2023)
by: Liu, Weidong, et al.
Published: (2023)
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning
by: Xu, Linjie, et al.
Published: (2023)
by: Xu, Linjie, et al.
Published: (2023)
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
by: Barbara, Nicholas H., et al.
Published: (2024)
by: Barbara, Nicholas H., et al.
Published: (2024)
Towards Lifelong Learning of Large Language Models: A Survey
by: Zheng, Junhao, et al.
Published: (2024)
by: Zheng, Junhao, et al.
Published: (2024)
Off-Policy Primal-Dual Safe Reinforcement Learning
by: Wu, Zifan, et al.
Published: (2024)
by: Wu, Zifan, et al.
Published: (2024)
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning
by: Hu, Xuemin, et al.
Published: (2024)
by: Hu, Xuemin, et al.
Published: (2024)
Efficient Online Reinforcement Learning for Diffusion Policy
by: Ma, Haitong, et al.
Published: (2025)
by: Ma, Haitong, et al.
Published: (2025)
RedTopic: Toward Topic-Diverse Red Teaming of Large Language Models
by: Ding, Jiale, et al.
Published: (2025)
by: Ding, Jiale, et al.
Published: (2025)
Dynamic Adversarial Reinforcement Learning for Robust Multimodal Large Language Models
by: Bao, Yicheng, et al.
Published: (2026)
by: Bao, Yicheng, et al.
Published: (2026)
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits
by: Shen, Yi, et al.
Published: (2023)
by: Shen, Yi, et al.
Published: (2023)
Adversarial Diffusion for Robust Reinforcement Learning
by: Foffano, Daniele, et al.
Published: (2025)
by: Foffano, Daniele, et al.
Published: (2025)
Policy Improvement Reinforcement Learning
by: Wang, Huaiyang, et al.
Published: (2026)
by: Wang, Huaiyang, et al.
Published: (2026)
Regularization for Adversarial Robust Learning
by: Wang, Jie, et al.
Published: (2024)
by: Wang, Jie, et al.
Published: (2024)
Towards Robust Zero-Shot Reinforcement Learning
by: Zheng, Kexin, et al.
Published: (2025)
by: Zheng, Kexin, et al.
Published: (2025)
Towards Robust Deep Reinforcement Learning against Environmental State Perturbation
by: Wang, Chenxu, et al.
Published: (2025)
by: Wang, Chenxu, et al.
Published: (2025)
Pruning Graphs by Adversarial Robustness Evaluation to Strengthen GNN Defenses
by: Wang, Yongyu
Published: (2025)
by: Wang, Yongyu
Published: (2025)
Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning
by: Xu, Yang, et al.
Published: (2025)
by: Xu, Yang, et al.
Published: (2025)
ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
by: Zhang, Tonghe, et al.
Published: (2025)
by: Zhang, Tonghe, et al.
Published: (2025)
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness
by: Wen, Xiaoyu, et al.
Published: (2023)
by: Wen, Xiaoyu, et al.
Published: (2023)
On the Effects of Adversarial Perturbations on Distribution Robustness
by: Wang, Yipei, et al.
Published: (2026)
by: Wang, Yipei, et al.
Published: (2026)
From Order to Distribution: A Spectral Characterization of Forgetting in Continual Learning
by: Xu, Zonghuan, et al.
Published: (2026)
by: Xu, Zonghuan, et al.
Published: (2026)
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models
by: Zheng, Junhao, et al.
Published: (2023)
by: Zheng, Junhao, et al.
Published: (2023)
Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective
by: Duan, Tianyang, et al.
Published: (2025)
by: Duan, Tianyang, 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)
Similar Items
-
RedRFT: A Light-Weight Benchmark for Reinforcement Fine-Tuning-Based Red Teaming
by: Zheng, Xiang, et al.
Published: (2025) -
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
by: Xie, Yong, et al.
Published: (2024) -
Constrained Intrinsic Motivation for Reinforcement Learning
by: Zheng, Xiang, et al.
Published: (2024) -
Towards Optimal Adversarial Robust Reinforcement Learning with Infinity Measurement Error
by: Li, Haoran, et al.
Published: (2025) -
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
by: Nguyen, Thanh, et al.
Published: (2024)