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Career

· Research Intern, National University of Singapore2025–2025
· Intern In Data Analytics, JetBrains2024–2024
· Bachelor of Applied Science - BASc, Computer Science, Neapolis University Pafos

Publications (20)

Fast Context Adaptation via Meta-Learning
International Conference on Machine Learning · 2018
410
cited
Deep Coordination Graphs
International Conference on Machine Learning · 2019
196
cited
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
NeurIPS Datasets and Benchmarks · 2021
105
cited
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
International Conference on Learning Representations · 2020
101
cited
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
Neural Information Processing Systems · 2022
86
cited
Learning From Demonstration in the Wild
IEEE International Conference on Robotics and Automation · 2018
78
cited
A Generalist Neural Algorithmic Learner
LOG IN · 2022
65
cited
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?
Neural Information Processing Systems · 2020
65
cited
The Atari Grand Challenge Dataset
arXiv.org · 2017
47
cited
CAML: Fast Context Adaptation via Meta-Learning
arXiv.org · 2018
38
cited
Fast Efficient Hyperparameter Tuning for Policy Gradients
Neural Information Processing Systems · 2019
33
cited
Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning
arXiv.org · 2019
31
cited
Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2017
25
cited
Insights From the NeurIPS 2021 NetHack Challenge
Neural Information Processing Systems · 2022
21
cited
You May Not Need Ratio Clipping in PPO
arXiv.org · 2022
19
cited
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing
Neural Information Processing Systems · 2021
14
cited
Foundational Multi-Modal Program Verifiers
Proc. ACM Program. Lang. · 2026
3
cited
AIMS CDT Project Report : Towards One-Shot Learning From Demonstration via Reinforcement Learning
2018
A minimalist approach to deep multi-task learning
2022
Velvet : A Multi-Modal Verifier for Effectful Programs
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