Alexandre Piché
Alexandre Piché
ServiceNow Research, Mila
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Interventions for implementation of thromboprophylaxis in hospitalized patients at risk for venous thromboembolism
SR Kahn, DR Morrison, G Diendéré, A Piché, KB Filion, AJ Klil‐Drori, ...
Cochrane Database of Systematic Reviews, 2018
Reward estimation for variance reduction in deep reinforcement learning
J Romoff, P Henderson, A Piché, V Francois-Lavet, J Pineau
arXiv preprint arXiv:1805.03359, 2018
Probabilistic Planning with Sequential Monte Carlo methods
A Piché, V Thomas, C Ibrahim, Y Bengio, C Pal
International Conference on Learning Representations, 2019
Effectiveness of interventions for the implementation of thromboprophylaxis in hospitalised patients at risk of venous thromboembolism: an updated abridged Cochrane systematic …
SR Kahn, G Diendéré, DR Morrison, A Piché, KB Filion, AJ Klil-Drori, ...
BMJ open 9 (5), e024444, 2019
Iterative amortized policy optimization
J Marino, A Piché, AD Ialongo, Y Yue
Advances in Neural Information Processing Systems 34, 15667-15681, 2021
A higher sport-related reinjury risk does not mean inadequate rehabilitation: the methodological challenge of choosing the correct comparison group
I Shrier, M Zhao, A Piché, P Slavchev, RJ Steele
British journal of sports medicine 51 (8), 630-635, 2017
Beyond Target Networks: Improving Deep Q-learning with Functional Regularization
A Piché, J Marino, GM Marconi, C Pal, ME Khan
arXiv preprint arXiv:2106.02613, 2021
Can large language models build causal graphs?
S Long, T Schuster, A Piché, SN Research
arXiv preprint arXiv:2303.05279, 2023
Causal discovery with language models as imperfect experts
S Long, A Piché, V Zantedeschi, T Schuster, A Drouin
arXiv preprint arXiv:2307.02390, 2023
First concussion did not increase the risk of subsequent concussion when patients were managed appropriately
I Shrier, A Piché, RJ Steele
British journal of sports medicine 53 (7), 389-390, 2019
Unsupervised model-based pre-training for data-efficient reinforcement learning from pixels
S Rajeswar, P Mazzaglia, T Verbelen, A Piché, B Dhoedt, A Courville, ...
Atlantic causal inference conference data challenge, 2019
S Gruber, G Lefebvre, T Schuster, A Piché
URL https://sites. google. com/view/acic2019datachallenge, 0
Unsupervised Model-based Pre-training for Data-efficient Control from Pixels
S Rajeswar, P Mazzaglia, T Verbelen, A Piché, B Dhoedt, A Courville, ...
arXiv preprint arXiv:2209.12016, 2022
Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields.
R Le Priol, A Piché, S Lacoste-Julien
UAI, 815-824, 2018
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
S Rajeswar, P Mazzaglia, T Verbelen, A Piché, B Dhoedt, A Courville, ...
Implicit Offline Reinforcement Learning via Supervised Learning
A Piche, R Pardinas, D Vazquez, I Mordatch, C Pal
arXiv preprint arXiv:2210.12272, 2022
Leveraging Human Preferences to Master Poetry
R Pardinas, G Huang, D Vazquez, A Piché
The AAAI-23 Workshop on Creative AI Across Modalities, 2023
Towards good validation metrics for generative models in offline model-based optimisation
C Beckham, A Piche, D Vazquez, C Pal
arXiv preprint arXiv:2211.10747, 2022
On the design of variational rl algorithms
J Marino, A Piché, Y Yue
NeurIPS Workshop on Deep Reinforcement Learning, 2019
Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields
RL Priol, A Piché, S Lacoste-Julien
arXiv preprint arXiv:1712.08577, 2017
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20