| Towards safe reinforcement learning via constraining conditional value-at-risk C Ying, X Zhou, H Su, D Yan, N Chen, J Zhu arXiv preprint arXiv:2206.04436, 2022 | 23 | 2022 |
| Understanding adversarial attacks on observations in deep reinforcement learning Y Qiaoben, C Ying, X Zhou, H Su, J Zhu, B Zhang Science China Information Sciences 67 (5), 1-15, 2024 | 11 | 2024 |
| Strategically-timed state-observation attacks on deep reinforcement learning agents Y Qiaoben, X Zhou, C Ying, J Zhu ICML 2021 Workshop on Adversarial Machine Learning, 2021 | 11 | 2021 |
| Reward informed dreamer for task generalization in reinforcement learning C Ying, Z Hao, X Zhou, H Su, S Liu, J Li, D Yan, J Zhu arXiv preprint arXiv:2303.05092, 2023 | 4 | 2023 |
| Consistent attack: Universal adversarial perturbation on embodied vision navigation C Ying, Y Qiaoben, X Zhou, H Su, W Ding, J Ai Pattern Recognition Letters 168, 57-63, 2023 | 3 | 2023 |
| On the reuse bias in off-policy reinforcement learning C Ying, Z Hao, X Zhou, H Su, D Yan, J Zhu arXiv preprint arXiv:2209.07074, 2022 | 1 | 2022 |
