Scholar
Jack Parker-Holder
Google Scholar ID: 2O_ESc4AAAAJ
Google DeepMind, UCL
Citations & Impact
Citations
2,977
H-index
29
i10-index
41
Publications
20
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- Feb 2024: Introduced Genie
- 2023: Two papers accepted to NeurIPS 2023
- Jun 2023: AdA paper accepted as Oral at ICML 2023
- Jan 2023: AdA work covered by New Scientist
- Jan 2023: One paper accepted to ICLR 2023
- 2022: Two papers accepted to NeurIPS 2022
- Jun 2022: Offline RL from pixels work won Outstanding Paper Award at L-DOD
- May 2022: Two papers accepted to ICML 2022
- Mar 2022: Multi-task RL work received Honorable Mention for Best Paper at AISTATS
- Mar 2022: Released ACCEL, a new algorithm for open-ended learning
- 2021: Three papers accepted to NeurIPS 2021
- 2020: Three papers accepted to NeurIPS 2020; three papers accepted to ICML 2020 main conference
- Feb 2020: Model-based RL work 'Ready Policy One' covered by VentureBeat
- Nov 2020: PB2 integrated into Ray Tune
Research Experience
- Research Scientist, Open-Endedness Team, Google DeepMind (since July 2022)
- Honorary Lecturer in Computer Science, University College London (since October 2023)
- Intern at Facebook AI Research (FAIR) London with Tim Rocktäschel and Ed Grefenstette
- Intern in the ML group at Aspect Capital
- Seven-year career in finance as a Quantitative Researcher and ETF Trader at J.P. Morgan in New York
