Sotabase

Career

· Research Scientist & Intern, Meta Platforms2024–
· Research Intern, Google DeepMind2023–2024
· Doctor of Philosophy, McGill University2022–
· PhD Student, Mila - Quebec Artificial Intelligence Institute2022–
· Research Intern, Google2021–2023
· Research Assistant, Alberta Machine Intelligence Institute
· Master of Science, McGill University
· Bachelor of Science, University of Alberta

Publications (34)

Generalization and Regularization in DQN
arXiv.org · 2018
221
cited
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
International Conference on Machine Learning · 2024
106
cited
Mixtures of Experts Unlock Parameter Scaling for Deep RL
International Conference on Machine Learning · 2024
64
cited
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
International Conference on Learning Representations · 2023
37
cited
Investigating Multi-task Pretraining and Generalization in Reinforcement Learning
International Conference on Learning Representations · 2023
31
cited
A Distributional Analogue to the Successor Representation
International Conference on Machine Learning · 2024
10
cited
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces
International Conference on Artificial Intelligence and Statistics · 2022
8
cited
Foundations of Multivariate Distributional Reinforcement Learning
Neural Information Processing Systems · 2024
8
cited
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
International Conference on Learning Representations · 2024
6
cited
Discovering the Electron Beam Induced Transition Rates for Silicon Dopants in Graphene with Deep Neural Networks in the STEM.
Microscopy and Microanalysis · 2023
2
cited
Revisiting Successor Features for Inverse Reinforcement Learning
2
cited
Using biconnected components for efficient identification of upstream features in large spatial networks (GIS cup)
SIGSPATIAL/GIS · 2018
2
cited
CALE: Continuous Arcade Learning Environment
Neural Information Processing Systems · 2024
1
cited
Learning and Controlling Silicon Dopant Transitions in Graphene Using Scanning Transmission Electron Microscopy
Advanced Materials Interfaces · 2023
1
cited
I NVESTIGATING MULTI - TASK PRETRAINING AND GEN - ERALIZATION IN REINFORCEMENT LEARNING
2022
The Position Dependence of Electron Beam Induced Effects in 2D Materials with Deep Neural Networks
Microscopy and Microanalysis · 2024
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Jesse Farebrother | Researcher Profile | Sotabase | Sotabase