David Venuto
David Venuto
Mila, Google, McGill University
Verified email at
Cited by
Cited by
Identifying co‐opted transposable elements using comparative epigenomics
D Venuto, G Bourque
Development, Growth & Differentiation 60 (1), 53-62, 2018
Policy gradients incorporating the future
D Venuto, E Lau, D Precup, O Nachum
ICLR 2022, 2021
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
D Venuto, S Yang, P Abbeel, D Precup, I Mordatch, O Nachum
ICML 2023, 2022
Loss of the zona pellucida-binding protein 2 (Zpbp2) gene in mice impacts airway hypersensitivity and lung lipid metabolism in a sex-dependent fashion
C Kanagaratham, V Chiwara, B Ho, S Moussette, M Youssef, D Venuto, ...
Mammalian genome 29, 281-298, 2018
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions
D Venuto, J Chakravorty, L Boussioux, J Wang, G McCracken, D Precup
arXiv preprint arXiv:2002.09043, 2020
Avoidance Learning Using Observational Reinforcement Learning
D Venuto, L Boussioux, J Wang, R Dali, J Chakravorty, Y Bengio, ...
NeurIPS Safety and Robustness in Decision Making 2019, 2019
PAC-Bayesian Analysis of Counterfactual Risk in Stochastic Contextual Bandits
J Wang, B Mazoure, G McCracken, D Venuto, A Durand
RLDM 2019, 2019
Code as Reward: Empowering Reinforcement Learning with VLMs
D Venuto, SN Islam, M Klissarov, D Precup, S Yang, A Anand
arXiv preprint arXiv:2402.04764, 2024
Support vector comparison machines
D Venuto, TD Hocking, L Sphanurattana, M Sugiyama
arXiv preprint arXiv:1401.8008, 2017
The system can't perform the operation now. Try again later.
Articles 1–9