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Researchers
Career
·
Ph.D. Candidate
,
New York University
2021–
·
MS in Computer Science
,
Mila / McGill University
2019–2021
·
B.Sc. in Neuroscience
,
McGill University
2015–2019
·
Research Intern
,
Google DeepMind
Publications
(10)
Light-weight probing of unsupervised representations for Reinforcement Learning
RLJ · 2022
20
cited
KL-Regularized Reinforcement Learning is Designed to Mode Collapse
arXiv.org · 2025
4
cited
Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?
arXiv.org · 2025
2
cited
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions
AAAI Conference on Artificial Intelligence · 2022
1
cited
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
International Conference on Learning Representations · 2024
1
cited
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Anthony GX Chen | Researcher Profile | Sotabase | Sotabase