Alexandre Piché

25 papers A* 2A 1Misc 1Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PipelineRL: Faster On-policy Reinforcement Learning for Long Sequence Generation. Trans. Mach. Learn. Res. Alexandre Piché, Ehsan Kamalloo, Rafael Pardinas, Xiaoyin Chen, Dzmitry Bahdanau
2025	J	`jnl`	BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning. CoRR Ahmed Masry, Abhay Puri, Masoud Hashemi, Juan A. Rodríguez, Megh Thakkar, Khyati Mahajan, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Alexandre Piché, Dzmitry Bahdanau, Christopher Pal, David Vázquez, Enamul Hoque, Perouz Taslakian, Sai Rajeswar, Spandana Gella
2025	J	`jnl`	How to Train Your LLM Web Agent: A Statistical Diagnosis. CoRR Dheeraj Vattikonda, Santhoshi Ravichandran, Emiliano Penaloza, Hadi Nekoei, Megh Thakkar, Thibault Le Sellier de Chezelles, Nicolas Gontier, Miguel Muñoz-Mármol, Sahar Omidi Shayegan, Stefania Raimondo, Xue Liu, Alexandre Drouin, Laurent Charlin, Alexandre Piché, Alexandre Lacoste, Massimo Caccia
2025	J	`jnl`	LLMs can learn self-restraint through iterative self-reflection. Trans. Mach. Learn. Res. Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Christopher Pal
2025	J	`jnl`	PipelineRL: Faster On-policy Reinforcement Learning for Long Sequence Generation. CoRR Alexandre Piché, Ehsan Kamalloo, Rafael Pardinas, Xiaoyin Chen, Dzmitry Bahdanau
2025	J	`jnl`	Self-Evolving Curriculum for LLM Reasoning. CoRR Xiaoyin Chen, Jiarui Lu, Minsu Kim, Dinghuai Zhang, Jian Tang, Alexandre Piché, Nicolas Gontier, Yoshua Bengio, Ehsan Kamalloo
2024	J	`jnl`	Exploring validation metrics for offline model-based optimisation with diffusion models. Trans. Mach. Learn. Res. Christopher Beckham, Alexandre Piché, David Vázquez, Christopher Pal
2024	J	`jnl`	LLMs can learn self-restraint through iterative self-reflection. CoRR Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Chris Pal
2024	J	`jnl`	TapeAgents: a Holistic Framework for Agent Development and Optimization. CoRR Dzmitry Bahdanau, Nicolas Gontier, Gabriel Huang, Ehsan Kamalloo, Rafael Pardinas, Alexandre Piché, Torsten Scholak, Oleh Shliazhko, Jordan Prince Tremblay, Karam Ghanem, Soham Parikh, Mitul Tiwari, Quaizar Vohra
2023	J	`jnl`	Bridging the Gap Between Target Networks and Functional Regularization. Trans. Mach. Learn. Res. Alexandre Piché, Valentin Thomas, Joseph Marino, Rafael Pardinas, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan
2023	J	`jnl`	Can large language models build causal graphs? CoRR Stephanie Long, Tibor Schuster, Alexandre Piché
2023	J	`jnl`	Causal Discovery with Language Models as Imperfect Experts. CoRR Stephanie Long, Alexandre Piché, Valentina Zantedeschi, Tibor Schuster, Alexandre Drouin
2023	A*	`conf`	Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels. ICML Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste
2022	J	`jnl`	Implicit Offline Reinforcement Learning via Supervised Learning. CoRR Alexandre Piché, Rafael Pardinas, David Vázquez, Igor Mordatch, Chris Pal
2022	J	`jnl`	Towards good validation metrics for generative models in offline model-based optimisation. CoRR Christopher Beckham, Alexandre Piché, David Vázquez, Christopher Pal
2022	J	`jnl`	Unsupervised Model-based Pre-training for Data-efficient Control from Pixels. CoRR Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste
2021	J	`jnl`	Beyond Target Networks: Improving Deep Q-learning with Functional Regularization. CoRR Alexandre Piché, Joseph Marino, Gian Maria Marconi, Christopher Joseph Pal, Mohammad Emtiyaz Khan
2021	A*	`conf`	Iterative Amortized Policy Optimization. NeurIPS Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue
2020	J	`jnl`	Iterative Amortized Policy Optimization. CoRR Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue
2019	—	`conf`	Probabilistic Planning with Sequential Monte Carlo methods. ICLR (Poster) Alexandre Piché, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio, Chris Pal
2018	A	`conf`	Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields. UAI Rémi Le Priol, Alexandre Piché, Simon Lacoste-Julien
2018	Misc	`conf`	Reward Estimation for Variance Reduction in Deep Reinforcement Learning. CoRL Joshua Romoff, Peter Henderson, Alexandre Piché, Vincent François-Lavet, Joelle Pineau
2018	—	`conf`	Reward Estimation for Variance Reduction in Deep Reinforcement Learning. ICLR (Workshop) Joshua Romoff, Alexandre Piché, Peter Henderson, Vincent François-Lavet, Joelle Pineau
2018	J	`jnl`	Reward Estimation for Variance Reduction in Deep Reinforcement Learning. CoRR Joshua Romoff, Alexandre Piché, Peter Henderson, Vincent François-Lavet, Joelle Pineau
2017	J	`jnl`	Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields. CoRR Rémi Le Priol, Alexandre Piché, Simon Lacoste-Julien