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SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge


Aug 24, 2022
Xiaofan Yu, Yunhui Guo, Sicun Gao, Tajana Rosing

* Submitted for review 

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Quantifying Safety of Learning-based Self-Driving Control Using Almost-Barrier Functions


Aug 08, 2022
Zhizhen Qin, Tsui-Wei Weng, Sicun Gao

* International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, Oct 23 - Oct. 27, 2022 

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Every Preference Changes Differently: Neural Multi-Interest Preference Model with Temporal Dynamics for Recommendation


Jul 21, 2022
Hui Shi, Yupeng Gu, Yitong Zhou, Bo Zhao, Sicun Gao, Jishen Zhao


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Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods


Feb 23, 2022
Charles Dawson, Sicun Gao, Chuchu Fan

* Supplementary code available at https://github.com/MIT-REALM/neural_clbf 

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Learning Bounded Context-Free-Grammar via LSTM and the Transformer:Difference and Explanations


Dec 16, 2021
Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao

* Accepted By AAAI22 

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Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions


Sep 14, 2021
Charles Dawson, Zengyi Qin, Sicun Gao, Chuchu Fan

* Accepted to the 5th Annual Conference on Robot Learning (CoRL 21) 

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Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics


Jul 11, 2021
Ya-Chien Chang, Sicun Gao

* ICRA 2021 

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Provably Efficient Model-based Policy Adaptation


Jun 14, 2020
Yuda Song, Aditi Mavalankar, Wen Sun, Sicun Gao


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Neural Lyapunov Control


May 20, 2020
Ya-Chien Chang, Nima Roohi, Sicun Gao

* NeurIPS 2019 

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