Alexandre Piché

Researcher, ServiceNow Research

PhD student, University of Montreal

Joined

February 2018

Names

Alexandre Piché (Preferred)

Alexandre Piche

Emails

****@gmail.com (Confirmed)

****@servicenow.com (Confirmed)

Personal Links

Homepage

Career & Education History

Researcher

ServiceNow Research (servicenow.com)

2022 – Present

PhD student

University of Montreal (umontreal.ca)

2017 – Present

MS student

McGill University (mcgill.ca)

2015 – 2017

Advisors, Relations & Conflicts

Supervisor

Chris Pal

2017 – 2020

Expertise

Reinforcement Learning

2017 – 2018

Publications

PipelineRL: Faster On-policy Reinforcement Learning for Long Sequence Generation
Alexandre Piché, Ehsan Kamalloo, Rafael Pardinas, Xiaoyin Chen, Dzmitry Bahdanau
- Accepted by TMLR
- Readers: Everyone
Self-Evolving Curriculum for LLM Reasoning
Xiaoyin Chen, Jiarui Lu, Minsu Kim, Dinghuai Zhang, Jian Tang, Alexandre Piché, Nicolas Gontier, Yoshua Bengio, Ehsan Kamalloo
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
How to Train Your LLM Web Agent: A Statistical Diagnosis
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
- MTI-LLM @ NeurIPS 2025 Poster
- Readers: Everyone
How to Train Your LLM Web Agent: A Statistical Diagnosis
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
- WCUA 2025 Oral
- Readers: Everyone
How to Train Your LLM Web Agent: A Statistical Diagnosis
Dheeraj Vattikonda, Santhoshi Ravichandran, Emiliano Penaloza, Hadi Nekoei, Thibault Le Sellier de Chezelles, Megh Thakkar, Nicolas Gontier, Miguel Muñoz-Mármol, Sahar Omidi Shayegan, Stefania Raimondo, Xue Liu, Alexandre Drouin, Alexandre Piché, Alexandre Lacoste, Massimo Caccia
- NeurIPS 2025 poster
- Readers: Everyone
PipelineRL: Faster On-policy Reinforcement Learning for Long Sequence Generation
Alexandre Piché, Ehsan Kamalloo, Rafael Pardinas, Xiaoyin Chen, Dzmitry Bahdanau
- Submitted to NeurIPS 2025
- Readers: Everyone
BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning
Ahmed Masry, Abhay Puri, Masoud Hashemi, Juan A. Rodriguez, Megh Thakkar, Khyati Mahajan, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Alexandre Piché, Dzmitry Bahdanau, Christopher Pal, David Vazquez, Enamul Hoque, Perouz Taslakian, Sai Rajeswar, Spandana Gella
- COLM 2025
- Readers: Everyone
AgentMerge: Enhancing Generalization in Fine-Tuned LLM Agents
Megh Thakkar, Léo Boisvert, Thibault Le Sellier de Chezelles, Alexandre Piché, Maxime Gasse, Alexandre Lacoste, Massimo Caccia
- AFM 2024 Poster
- Readers: Everyone
Fine-Tuning Web Agents: It Works, But It's Trickier Than You Think
Massimo Caccia, Megh Thakkar, Léo Boisvert, Thibault Le Sellier de Chezelles, Alexandre Piché, Nicolas Chapados, Alexandre Drouin, Maxime Gasse, Alexandre Lacoste
- NeurIPS 2024 Workshop Open-World Agents Poster
- Readers: Everyone
LLMs can learn self-restraint through iterative self-reflection
Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Christopher Pal
- Accepted by TMLR
- Readers: Everyone

View all 26 publications

Co-Authors

View all 57 co-authors