Augmentations for Robust and Efficient Imitation Learning in Streamed Video Game
Imitation learning is an appealing way to scale game-playing agents to complex 3D environments by training policies to map visual observations to actions from human demonstrations. However, these demonstrations are expensive to collect and
https://arxiv.org/abs/2607.14200v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
None
How close the company’s idea is to your thesis statement
Sector
agents, ai
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↓ declining
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Correct facts used on the next screening or memo.
People
S
Somjit Nath
1.0
low confidence
A
Abdelhak Lemkhenter
1.0
low confidence
P
Pallavi Choudhury
1.0
low confidence
C
Chris Lovett
1.0
low confidence
K
Katja Hofmann
1.0
low confidence
S
Sergio Valcarcel Macua
1.0
low confidence
L
Lukas Schäfer
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
nunu.ai
· Active
Building the first multimodal agents to play and test games.
founders not scraped yet