Scholar
Felix Hill
Google Scholar ID: 4HLUnhIAAAAJ
Research Scientist, Deepmind
Citations & Impact
Citations
20,282
H-index
44
i10-index
57
Publications
20
Co-authors
24
list available
Contact
Resume (English only)
Academic Achievements
- - Published work on multimodal few-shot learning.
- - Developed AGILE, an algorithm for jointly learning instruction-conditioned reward functions and policies.
Research Experience
- - Conducts research on language understanding grounded in perception and action at DeepMind.
- - Explored multimodal few-shot learning with frozen language models.
- - Investigated how agents in 3D worlds learn the meaning of words and phrases from perceptual stimuli and complex action sequences.
Background
- Research Scientist at DeepMind, focusing on building computational models that exhibit human-like understanding of language and its relation to perception and action.
