Samuel Garcin

PhD student, University of Edinburgh

Joined

September 2022

Names

Samuel Garcin (Preferred)

Emails

****@ed.ac.uk (Confirmed)

Personal Links

Career & Education History

PhD student

University of Edinburgh (edinburgh.org)

2021 – 2026

Advisors, Relations & Conflicts

PhD Advisor

David Abel

2024 – 2026

PhD Advisor

Christopher Lucas

2021 – 2026

PhD Advisor

Stefano V. Albrecht

2021 – 2024

Expertise

Reinforcement Learning

Present

World Models

Present

Representation Learning

Present

Publications

MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
Tristan Tomilin, Luka van den Boogaard, Samuel Garcin, Constantin Ruhdorfer, Bram Grooten, Yali Du, Andreas Bulling, Mykola Pechenizkiy, Meng Fang
- Submitted to ICLR 2026
- Readers: Everyone
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
Tristan Tomilin, Luka van den Boogaard, Samuel Garcin, Bram Grooten, Meng Fang, Mykola Pechenizkiy
- EWRL 2025 Poster
- Readers: Everyone
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
Tristan Tomilin, Luka van den Boogaard, Samuel Garcin, Bram Grooten, Yali Du, Meng Fang, Mykola Pechenizkiy
- Submitted to NeurIPS 2025 Datasets and Benchmarks Track
- Readers: Everyone
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Christopher G. Lucas, David Abel, Prakash Panangaden, Stefano V Albrecht
- ICLR 2025 Poster
- Readers: Everyone
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V Albrecht
- ICML 2024 Poster
- Readers: Everyone
How the level sampling process impacts zero-shot generalisation in deep reinforcement learning
Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V Albrecht
- ALOE 2023 Poster
- Readers: Everyone
How the Level Sampling Process impacts Zero-Shot Generalisation in Deep Reinforcement Learning
Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V Albrecht
- Submitted to ICLR 2024
- Readers: Everyone

Samuel Garcin

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning

MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning

MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning

Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning

DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design

How the level sampling process impacts zero-shot generalisation in deep reinforcement learning

How the Level Sampling Process impacts Zero-Shot Generalisation in Deep Reinforcement Learning

Co-Authors