2023
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ICCV 2023 |
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor and Shuang Ma. In International Conference on Computer Vision, 2023 Paper (Code and models coming soon!) |
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ICLR 2023 |
SMART: Self-supervised Multi-task pretrAining with contRol Transformers. Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor Spotlight presentation In International Conference on Learning Representations, 2023 Paper Code Models HTML |
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ICLR 2023 |
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems. Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang In International Conference on Learning Representations, 2023 Paper Code |
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ICLR 2023 |
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness. Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang In International Conference on Learning Representations, 2023 Paper Code |
2022
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NeurIPS 2022 |
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. Yongyuan Liang*, Yanchao Sun*, Ruijie Zheng, and Furong Huang. (* Equal Contribution) In the 36th Conference on Neural Information Processing Systems, 2022 Paper Code |
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NeurIPS 2022 |
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, and Dacheng Tao. In the 36th Conference on Neural Information Processing Systems, 2022 Paper Code |
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NeurIPS 2022 |
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning. Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, and Lichao Sun. In the 36th Conference on Neural Information Processing Systems, 2022 Paper |
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ICLR 2022 |
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. Yanchao Sun, Ruijie Zheng, Yongyuan Liang, and Furong Huang. In International Conference on Learning Representations, 2022 Best Paper Award in NeurIPS 2021 Workshop of Safe and Robust Control of Uncertain Systems (SafeRL 2021). Paper Code HTML |
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ICLR 2022 |
Transfer RL across Observation Feature Spaces via Model-Based Regularization. Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew Cohen, and Furong Huang. In International Conference on Learning Representations, 2022 Paper Code HTML |
2021
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ICLR 2021 |
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics. Yanchao Sun, Da Huo, and Furong Huang. In International Conference on Learning Representations, 2021 Paper Code HTML |
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AAAI 2021 |
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL. Yanchao Sun, Xiangyu Yin, and Furong Huang. In AAAI Conference on Artificial Intelligence, 2021 Paper Code HTML |
2020
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AAMAS 2020 |
Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning. Yanchao Sun and Furong Huang. In International Conference on Autonomous Agents and Multiagent Systems, 2020 Paper |
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AISTATS 2020 |
Understanding Generalization in Deep Learning via Tensor Methods. Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki and Furong Huang. In International Conference on Artificial Intelligence and Statistics, 2020 Paper |
Before 2020
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ICDM 2017 |
Collaborative Inference of Coexisting Information Diffusions. Yanchao Sun, Cong Qian, Ning Yang and Philip S. Yu. In International Conference on Data Mining, 2017 Paper |