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generalist-value-functions

SeeQ: subtask-aware PaliGemma Q-critics for best-of-N steering of pi0.5 policies (JAX)

Details

External ID
1379217854
Source
GITHUB
Company
—
Product
generalist-value-functions
Website domain
github.com
Launched
Sept. 21, 2026
Cohort
—
Upvotes
10
Upvotes percentile
0.28183448629259544
Tags
—
Fetched at
Sept. 25, 2026, 1:02 a.m.
Updated at
Sept. 25, 2026, 1:02 a.m.

Enrichment

Theme
decision model runtimes and tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
q-critic framework for steering robotics policy models
Manually corrected
False

Could you build this?

No This involves advanced machine learning research implementing subtask-aware vision-language Q-critics and best-of-N policy steering for robotics foundation models in JAX.

What it would actually take: Building SeeQ requires expertise in reinforcement learning, robotics imitation learning, and JAX/Flax distributed training. The architecture involves fine-tuning vision-language backbones (PaliGemma) as value functions against multimodal robotic trajectory datasets (e.g., Open X-Embodiment) to guide diffusion or autoregressive action policies (pi0.5) in real time.

Competitors

Other products that read as similar to this one — 1890 launches clear the similarity bar, closest 8 shown.

Attention rank: #1214 of 1891 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 326 days after the earliest competitor.

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