Homer Walke
Hello! I'm a PhD student at UC Berkeley where I'm advised by Professor Sergey Levine. I'm interested in building generally intelligent embodied agents. Previously, I graduated from Brown University where I worked with Professor Michael Littman and Professor Daniel Ritchie.
Email | Google Scholar | GitHub | TwitterResearch
Octo: An Open-Source Generalist Robot Policy
Dibya Ghosh*, Homer Walke*, Karl Pertsch*, Kevin Black*, Oier Mees*, Sudeep Dasari, Joey Hejna, Charles Xu,
Jianlan Luo, Tobias Kreiman, You Liang Tan, Dorsa Sadigh, Chelsea Finn, Sergey Levine
Preprint |
website
Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models
Kevin Black, Mitsuhiko Nakamoto, Pranav Atreya, Homer Walke, Chelsea Finn, Aviral Kumar, Sergey Levine
ICLR 2024 |
website
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment Collaboration
Preprint |
website
BridgeData V2: A Dataset for Robot Learning at Scale
Homer Walke,
Kevin Black,
Abraham Lee,
Moo Jin Kim,
Max Du,
Chongyi Zheng,
Tony Zhao,
Philippe Hansen-Estruch,
Quan Vuong,
Andre He,
Vivek Myers,
Kuan Fang,
Chelsea Finn,
Sergey Levine
CoRL 2023 |
website
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
Vivek Myers,
Andre He,
Kuan Fang,
Homer Walke,
Phillipe Hansen-Estruch,
Ching-An Cheng,
Mihai Jalobeanu,
Andrey Kolobov,
Anca Dragan,
Sergey Levine
CoRL 2023 |
website
Stabilizing Contrastive RL: Techniques for Offline Goal Reaching
Chongyi Zheng,
Benjamin Eysenbach,
Homer Walke, Patrick Yin,
Kuan Fang,
Ruslan Salakhutdinov,
Sergey Levine
ICLR 2024 Spotlight |
website
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks
Kuan Fang,
Patrick Yin,
Ashvin Nair,
Homer Walke,
Gengchen Yan,
Sergey Levine
CoRL 2022 Oral |
website
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
Homer Walke,
Jonathan Yang,
Albert Yu,
Aviral Kumar,
Jedrzej Orbik,
Avi Singh,
Sergey Levine
CoRL 2022 |
website
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions
R. Kenny Jones,
Homer Walke,
Daniel Ritchie
CVPR 2022 |
website
Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator
Homer Walke,
Daniel Ritter,
Carl Trimbach,
Michael Littman
Undergraduate Honors Thesis