Reposted by Jeff Cui
Can we extend the power of world models beyond just online model-based learning? Absolutely!
We believe the true potential of world models lies in enabling agents to reason at test time.
Introducing DINO-WM: World Models on Pre-trained Visual Features for Zero-shot Planning.
We believe the true potential of world models lies in enabling agents to reason at test time.
Introducing DINO-WM: World Models on Pre-trained Visual Features for Zero-shot Planning.
January 31, 2025 at 7:24 PM
Can we extend the power of world models beyond just online model-based learning? Absolutely!
We believe the true potential of world models lies in enabling agents to reason at test time.
Introducing DINO-WM: World Models on Pre-trained Visual Features for Zero-shot Planning.
We believe the true potential of world models lies in enabling agents to reason at test time.
Introducing DINO-WM: World Models on Pre-trained Visual Features for Zero-shot Planning.
Reposted by Jeff Cui
New paper! We show that by using keypoint-based image representation, robot policies become robust to different object types and background changes.
We call this method Prescriptive Point Priors for robot Policies or P3-PO in short. Full project is here: point-priors.github.io
We call this method Prescriptive Point Priors for robot Policies or P3-PO in short. Full project is here: point-priors.github.io
December 10, 2024 at 8:32 PM
New paper! We show that by using keypoint-based image representation, robot policies become robust to different object types and background changes.
We call this method Prescriptive Point Priors for robot Policies or P3-PO in short. Full project is here: point-priors.github.io
We call this method Prescriptive Point Priors for robot Policies or P3-PO in short. Full project is here: point-priors.github.io
Reposted by Jeff Cui
Modern policy architectures are unnecessarily complex. In our #NeurIPS2024 project called BAKU, we focus on what really matters for good policy learning.
BAKU is modular, language-conditioned, compatible with multiple sensor streams & action multi-modality, and importantly fully open-source!
BAKU is modular, language-conditioned, compatible with multiple sensor streams & action multi-modality, and importantly fully open-source!
December 9, 2024 at 11:33 PM
Modern policy architectures are unnecessarily complex. In our #NeurIPS2024 project called BAKU, we focus on what really matters for good policy learning.
BAKU is modular, language-conditioned, compatible with multiple sensor streams & action multi-modality, and importantly fully open-source!
BAKU is modular, language-conditioned, compatible with multiple sensor streams & action multi-modality, and importantly fully open-source!