Patrick Yin

What's up! I am a research intern at NVIDIA and a PhD student at UW, advised by Abhishek Gupta.

My research is graciously supported by the NSF Graduate Research Fellowship. Previously, I was a research intern at Microsoft Research. Before that, I did my undergrad at UC Berkeley where I researched at BAIR with Sergey Levine and Kuan Fang.

Selected Publications
* indicates equal contribution

OmniReset: Emergent Dexterity via Diverse Resets and Large-Scale Reinforcement Learning
Patrick Yin*, Tyler Westenbroek*, Octi Zhang, Joshua Tran, Ignacio Dagnino, Eeshani Shilamkar, Numfor Mbiziwo-Tiapo, Simran Bagaria, Xinlei Liu, Galen Mullins, Andrey Kolobov, Abhishek Gupta
ICLR 2026
project page / arXiv

Diverse resets and large-scale RL for sim2real dexerity

SGFT: Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning
Patrick Yin*, Tyler Westenbroek*, Simran Bagaria, Kevin Huang, Ching-An Cheng, Andrey Kolobov, Abhishek Gupta
ICLR 2025
project page / arXiv

Sim2real value function transfer for real world RL

Other Publications

	Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation Jacob Levy, Tyler Westenbroek, Kevin Huang, Fernando Palafox, Patrick Yin, Shayegan Omidshafiei, Dong-Ki Kim, Abhishek Gupta, David Fridovich-Keil RSS 2026 project page / arXiv Sim2real world model transfer for real world RL
	DROID: A Large-Scale In-the-Wild Robot Manipulation Dataset Alexander Khazatsky, Karl Pertsch, ..., Patrick Yin, ..., Sergey Levine, Chelsea Finn RSS 2024 project page / arXiv Community driven teleop dataset
	ASID: Active Exploration for System Identification and Reconstruction in Robotic Manipulation Marius Memmel, Chuning Zhu, Andrew Wagenmaker, Patrick Yin, Dieter Fox, Abhishek Gupta ICLR 2024 (Oral Presentation) project page / arXiv Active sysid for sim2real
	Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data Chongyi Zheng, Benjamin Eysenbach, Homer Rich Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine ICLR 2024 (Spotlight Talk) project page / arXiv Contrastive offline RL
	Open X-Embodiment: Robotic Learning Datasets and RT-X Models Open X-Embodiment Collaboration, ..., Patrick Yin, ... ICRA 2024 (Best Paper) project page / arXiv Large community driven teleop dataset
	Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks Kuan Fang, Patrick Yin, Ashvin Nair, Homer Rich Walke, Gengchan Yan, Sergey Levine CoRL 2022 (Oral Presentation) project page / arXiv Latent space planning for goal-conditioned real-world RL
	Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space Kuan Fang, Patrick Yin*, Ashvin Nair, Sergey Levine IROS 2022* project page / arXiv Planning for goal-conditioned real-world RL
	Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair, Patrick Yin, Sergey Levine ICML 2022 project page / arXiv Bisimulation-based offline RL

Misc

Notes from undergrad on ML, math, etc.

Coursework from undergrad

Coding projects from when I was first learning to code

Website template from Jon Barron.