Gao, Sicun

26 publications

ICML 2025 Improving Compositional Generation with Diffusion Models Using Lift Scores Chenning Yu, Sicun Gao

ICML 2025 Improving Value Estimation Critically Enhances Vanilla Policy Gradient Tao Wang, Ruipeng Zhang, Sicun Gao

CoRL 2025 Sequence Modeling for Time-Optimal Quadrotor Trajectory Optimization with Sampling-Based Robustness Analysis Katherine Mao, Hongzhan Yu, Ruipeng Zhang, Igor Spasojevic, Sicun Gao, Vijay Kumar

ICML 2025 When Maximum Entropy Misleads Policy Optimization Ruipeng Zhang, Ya-Chien Chang, Sicun Gao

ICML 2024 Activation-Descent Regularization for Input Optimization of ReLU Networks Hongzhan Yu, Sicun Gao

ICML 2024 Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents Chung-En Sun, Sicun Gao, Tsui-Wei Weng

ICML 2024 Mollification Effects of Policy Gradient Methods Tao Wang, Sylvia Lee Herbert, Sicun Gao

NeurIPS 2024 SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions Hongchao Zhang, Zhizhen Qin, Sicun Gao, Andrew Clark

AAAI 2024 Sample-and-Bound for Non-Convex Optimization Yaoguang Zhai, Zhizhen Qin, Sicun Gao

L4DC 2024 Understanding the Difficulty of Solving Cauchy Problems with PINNs Tao Wang, Bo Zhao, Sicun Gao, Rose Yu

ICML 2023 Everyone’s Preference Changes Differently: A Weighted Multi-Interest Model for Retrieval Hui Shi, Yupeng Gu, Yitong Zhou, Bo Zhao, Sicun Gao, Jishen Zhao

NeurIPS 2023 Fractal Landscapes in Policy Optimization Tao Wang, Sylvia Herbert, Sicun Gao

NeurIPS 2023 Iterative Reachability Estimation for Safe Reinforcement Learning Milan Ganai, Zheng Gong, Chenning Yu, Sylvia Herbert, Sicun Gao

CVPRW 2023 SCALE: Online Self-Supervised Lifelong Learning Without Prior Knowledge Xiaofan Yu, Yunhui Guo, Sicun Gao, Tajana Rosing

AAAI 2022 Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao

CoRL 2022 Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation Chenning Yu, Hongzhan Yu, Sicun Gao

NeurIPS 2022 Learning-Based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding Ruipeng Zhang, Chenning Yu, Jingkai Chen, Chuchu Fan, Sicun Gao

NeurIPS 2022 Monte Carlo Tree Descent for Black-Box Optimization Yaoguang Zhai, Sicun Gao

NeurIPS 2022 Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems Eric Yu, Zhizhen Qin, Min Kyung Lee, Sicun Gao

NeurIPS 2021 Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks Chenning Yu, Sicun Gao

CoRL 2021 Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson, Zengyi Qin, Sicun Gao, Chuchu Fan

ICML 2020 Provably Efficient Model-Based Policy Adaptation Yuda Song, Aditi Mavalankar, Wen Sun, Sicun Gao

AAAI 2019 Inverse Abstraction of Neural Networks Using Symbolic Interpolation Sumanth Dathathri, Sicun Gao, Richard M. Murray

NeurIPS 2019 Neural Lyapunov Control Ya-Chien Chang, Nima Roohi, Sicun Gao

IJCAI 2017 Learning-Based Abstractions for Nonlinear Constraint Solving Sumanth Dathathri, Nikos Aréchiga, Sicun Gao, Richard M. Murray

AAAI 2015 SMT-Based Nonlinear PDDL+ Planning Daniel Bryce, Sicun Gao, David J. Musliner, Robert P. Goldman