Hongkai Dai

7 papers · 2021–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 🏆 Keyword Champion (2)

Venues

CoRL (3) ICLR (1) ICML (1) L4DC (1) RSS (1)

Top co-authors

Russ Tedrake (4) Lujie Yang (3) Marco Pavone (2) Allen Z. Ren (2) Benjamin Burchfiel (2) Benoit Landry (2) Anirudha Majumdar (2) Abhishek Gupta (1) Zhouxing Shi (1) Glen Chou (1)

Research topics

Reinforcement Learning (6) Methods (5) Machine Learning (3) Applications (3) Artificial Intelligence (2) Deep Learning (2) Robotics (2) Models (2) Optimization & Theory (2) Mathematics & Optimization (1) Capabilities (1) Core AI (1) Learning Paradigms (1) Learning Types (1) Optimization (1)

Keywords

diffusion model (2) region of attraction (2) reinforcement learning (2) sim-to-real transfer (1) policy gradient (1) gradient-based optimization (1) robot learning (1) branch and bound (1) optimal control (1) value function (1) trajectory optimization (1) continuous control (1) mixed integer programming (1) duality theory (1) score matching (1) sampling efficiency (1) robot manipulation (1) diffusion policy (1) uncertainty estimation (1) planning algorithm (1)

Papers

Diffusion Policy Policy Optimization ICLR 2025 Steerable Scene Generation with Post Training and Inference-Time Search CoRL 2025 Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation ICML 2024 AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer CoRL 2023 Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching CoRL 2023 Lyapunov-stable neural-network control RSS 2021 SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions L4DC 2021