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Yanchao Sun
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Year
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
Y Sun, R Zheng, Y Liang, F Huang
The 10th International Conference on Learning Representations (ICLR 2022), 2022
532022
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics
Y Sun, D Huo, F Huang
9th International Conference on Learning Representations (ICLR 2021)., 2021
452021
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
Y Liang, Y Sun, R Zheng, F Huang
The 36th Conference on Neural Information Processing Systems (NeurIPS) 2022, 2022
332022
SMART: Self-supervised Multi-task pretrAining with contRol Transformers
Y Sun, S Ma, R Madaan, R Bonatti, F Huang, A Kapoor
International Conference on Learning Representations (ICLR) 2023, 2023
302023
Understanding generalization in deep learning via tensor methods
J Li, Y Sun, J Su, T Suzuki, F Huang
International Conference on Artificial Intelligence and Statistics, 504-515, 2020
282020
Temple: Learning template of transitions for sample efficient multi-task RL
Y Sun, X Yin, F Huang
35th AAAI Conference on Artificial Intelligence (AAAI 2021)., 2021
192021
Transfer RL across Observation Feature Spaces via Model-Based Regularization
Y Sun, R Zheng, X Wang, A Cohen, F Huang
The 10th International Conference on Learning Representations (ICLR 2022), 2022
162022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems
Y Sun, R Zheng, P Hassanzadeh, Y Liang, S Feizi, S Ganesh, F Huang
International Conference on Learning Representations (ICLR) 2023, 2023
112023
Exploring and exploiting decision boundary dynamics for adversarial robustness
Y Xu, Y Sun, M Goldblum, T Goldstein, F Huang
arXiv preprint arXiv:2302.03015, 2023
102023
Certifiably robust policy learning against adversarial multi-agent communication
Y Sun, R Zheng, P Hassanzadeh, Y Liang, S Feizi, S Ganesh, F Huang
The Eleventh International Conference on Learning Representations, 2022
102022
Collaborative inference of coexisting information diffusions
Y Sun, C Qian, N Yang, SY Philip
2017 IEEE International Conference on Data Mining (ICDM), 1093-1098, 2017
82017
: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
R Zheng, X Wang, Y Sun, S Ma, J Zhao, H Xu, H Daumé III, F Huang
Advances in Neural Information Processing Systems 36, 2024
72024
Is imitation all you need? generalized decision-making with dual-phase training
Y Wei, Y Sun, R Zheng, S Vemprala, R Bonatti, S Chen, R Madaan, Z Ba, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
62023
Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning
Y Sun, F Huang
Proceedings of the International Conference on Autonomous Agents and …, 2020
62020
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning
J Hu, Y Sun, H Chen, S Huang, Y Chang, L Sun
Advances in Neural Information Processing Systems (NeurIPS), 2022, 2022
52022
A simple unified uncertainty-guided framework for offline-to-online reinforcement learning
S Guo, Y Sun, J Hu, S Huang, H Chen, H Piao, L Sun, Y Chang
arXiv preprint arXiv:2306.07541, 2023
42023
Instructed diffuser with temporal condition guidance for offline reinforcement learning
J Hu, Y Sun, S Huang, SY Guo, H Chen, L Shen, L Sun, Y Chang, D Tao
arXiv preprint arXiv:2306.04875, 2023
42023
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
K Yang, Y Sun, J Su, F He, X Tian, F Huang, T Zhou, D Tao
Advances in Neural Information Processing Systems (NeurIPS), 2022, 2022
32022
Coplanner: Plan to roll out conservatively but to explore optimistically for model-based rl
X Wang, R Zheng, Y Sun, R Jia, W Wongkamjan, H Xu, F Huang
arXiv preprint arXiv:2310.07220, 2023
22023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
Y Liang, Y Sun, R Zheng, X Liu, T Sandholm, F Huang, S McAleer
arXiv preprint arXiv:2307.12062, 2023
22023
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