Alexander David Goldie

PhD student, University of Oxford

Joined

July 2023

Names

Alexander David Goldie (Preferred)

Alex Goldie

Alexander D. Goldie

Emails

****@eng.ox.ac.uk (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

PhD student

University of Oxford (ox.ac.uk)

2022 – 2027

Undergrad student

University of Oxford (ox.ac.uk)

2018 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Jakob Nicolaus Foerster

2023 – 2027

PhD Advisor

Shimon Whiteson

2023 – 2027

Expertise

No areas of expertise listed

Publications

Model-Based Meta-Learning for Algorithm Discovery
Theo Wolf, Alexander David Goldie, Jarek Luca Liesen, Uljad Berdica, Mattie Fellows, Jakob Nicolaus Foerster
- ICLR 2026 Workshop World Models
- Readers: Everyone
An Optimisation Framework for Unsupervised Environment Design
Nathan Monette, Alistair Letcher, Michael Beukman, Matthew Thomas Jackson, Alexander Rutherford, Alexander David Goldie, Jakob Nicolaus Foerster
- RLC 2025
- Readers: Everyone
How Should We Meta-Learn Reinforcement Learning Algorithms?
Alexander David Goldie, Zilin Wang, Jaron Cohen, Jakob Nicolaus Foerster, Shimon Whiteson
- RLC 2025
- Readers: Everyone
Investigating Online RL in World Models
Uljad Berdica, Kelvin Li, Michael Beukman, Alexander David Goldie, Mattie Fellows, Perla Maiolino, Jakob Nicolaus Foerster
- Submitted to ICLR 2025
- Readers: Everyone
Do Symbolic or Black-Box Representations Generalise Better In Learned Optimisation?
Alexander David Goldie, Jaron Cohen, Shimon Whiteson, Jakob Nicolaus Foerster
- Submitted to ICLR 2025
- Readers: Everyone
Robust Offline Learning via Adversarial World Models
Uljad Berdica, Kelvin Li, Michael Beukman, Alexander David Goldie, Perla Maiolino, Jakob Nicolaus Foerster
- NeurIPS 2024 Workshop Open-World Agents Poster
- Readers: Everyone
Track 1: Robust Offline Learning via Adversarial World Models
Uljad Berdica, Kelvin Li, Michael Beukman, Alexander David Goldie, Perla Maiolino, Jakob Nicolaus Foerster
- AdvML-Frontiers 2024
- Readers: Everyone
Can Learned Optimization Make Reinforcement Learning Less Difficult?
Alexander D. Goldie, Chris Lu, Matthew Thomas Jackson, Shimon Whiteson, Jakob Nicolaus Foerster
- AutoRL@ICML 2024
- Readers: Everyone
Can Learned Optimization Make Reinforcement Learning Less Difficult?
Alexander D. Goldie, Chris Lu, Matthew Thomas Jackson, Shimon Whiteson, Jakob Nicolaus Foerster
- NeurIPS 2024 spotlight
- Readers: Everyone
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps
Benjamin Ellis, Matthew Thomas Jackson, Andrei Lupu, Alexander D. Goldie, Mattie Fellows, Shimon Whiteson, Jakob Nicolaus Foerster
- NeurIPS 2024 poster
- Readers: Everyone

View all 14 publications