Dai, Hongkai

6 publications

ICLR 2025 Diffusion Policy Policy Optimization Allen Z. Ren, Justin Lidard, Lars Lien Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz

CoRL 2025 Steerable Scene Generation with Post Training and Inference-Time Search Nicholas Ezra Pfaff, Hongkai Dai, Sergey Zakharov, Shun Iwase, Russ Tedrake

ICML 2024 Lyapunov-Stable Neural Control for State and Output Feedback: A Novel Formulation Lujie Yang, Hongkai Dai, Zhouxing Shi, Cho-Jui Hsieh, Russ Tedrake, Huan Zhang

CoRL 2023 AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer Allen Z. Ren, Hongkai Dai, Benjamin Burchfiel, Anirudha Majumdar

CoRL 2023 Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching H.J. Terry Suh, Glen Chou, Hongkai Dai, Lujie Yang, Abhishek Gupta, Russ Tedrake

L4DC 2021 SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions Benoit Landry, Hongkai Dai, Marco Pavone