Jack Umenberger
Associate Professor
Studies data-driven optimisation and control of dynamical systems, linking reinforcement learning, adaptive and dual control.
Jack Umenberger's lab at Oxford works on reinforcement learning. 4 papers since 2023, mostly CDC. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 0%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 0
- 2 papers2024 · T1 0
- 0 papers2023 · T1 0
T1 venuesOtherVenues: CDC
Research focuspaper titles that use each topic's words
- Reinforcement learning2 papers
- studies data-driven0 papers
- dynamical0 papers
- dynamical systems0 papers
- linking0 papers
Paper list
From the lab homepage.
20261 paper
- ECCRobust and learning-augmented algorithms for degradation-aware battery optimization
20251 paper
- ESASmoothed analysis of online metric problems
20242 papers
- CDCOn the sample complexity of imitation learning for smoothed model predictive control
- SIAM Journal on OptimizationShortest paths in graphs of convex sets
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January round)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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