Patrick Yin

What's up! I am a PhD student at UW, advised by Abhishek Gupta, and a research intern at NVIDIA, collaborating with Ankur Handa, Karl Van Wyk, and Nathan Ratliff.

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

Selected Publications
* indicates equal contribution

AlphaNIST: Emergent Assembly Skills from Binary Task Rewards
Octi Zhang, Iretiayo Akinola, Rosario Scalise, Mateo Guaman Castro, Patrick Yin, Tobias Widmer, Miles Macklin, Chris Amevor, Dylan Turpin, Dirk Van Gelder, Jan Carius, Ankur Handa, Gavriel State, Yunrong Guo, Yashraj Narang
Under review, 2026
project page / arXiv

Emergent dexterity from multi-task large-scale RL

A Balanced Data Diet: Addressing the Exploration Bottleneck in Mega-Scale RL for Robot Control
Octi Zhang*, Mateo Guaman Castro*, Patrick Yin*, Ignacio Dagnino, Abhishek Gupta, Rosario Scalise, Byron Boots
CoRL 2026
project page / arXiv

Adaptive task sampling for large-scale sim2real RL

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

Other Publications

	Visual Sim-to-Real Learning for Robotic Insertion under Geometric Variations: Application to Rebar Installation Tao Sun, Beining Han, Patrick Yin, Rui Xu, Harry He, Abhishek Gupta, Szymon Rusinkiewicz, Yi Shao Under review, 2026 project page / arXiv Sim2real RL for construction rebar insertion
	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
	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
	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.