Alexandre Piché

According to our database, Alexandre Piché authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Causal Discovery with Language Models as Imperfect Experts.

Stephanie Long, Alexandre Piché, Valentina Zantedeschi, Tibor Schuster, Alexandre Drouin

CoRR, 2023

Can large language models build causal graphs?

Stephanie Long, Tibor Schuster, Alexandre Piché

CoRR, 2023

Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels.

Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste

Proceedings of the International Conference on Machine Learning, 2023

2022

Towards good validation metrics for generative models in offline model-based optimisation.

Christopher Beckham, Alexandre Piché, David Vázquez, Christopher Pal

CoRR, 2022

Implicit Offline Reinforcement Learning via Supervised Learning.

Alexandre Piché, Rafael Pardinas, David Vázquez, Igor Mordatch, Chris Pal

CoRR, 2022

Unsupervised Model-based Pre-training for Data-efficient Control from Pixels.

Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste

CoRR, 2022

2021

Beyond Target Networks: Improving Deep Q-learning with Functional Regularization.

Alexandre Piché, Joseph Marino, Gian Maria Marconi, Christopher Joseph Pal, Mohammad Emtiyaz Khan

CoRR, 2021

Iterative Amortized Policy Optimization.

Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Probabilistic Planning with Sequential Monte Carlo methods.

Alexandre Piché, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio, Chris Pal

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields.

Rémi Le Priol, Alexandre Piché, Simon Lacoste-Julien

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Reward Estimation for Variance Reduction in Deep Reinforcement Learning.

Joshua Romoff, Peter Henderson, Alexandre Piché, Vincent François-Lavet, Joelle Pineau

Proceedings of the 2nd Annual Conference on Robot Learning, 2018