Picture of Kowen Woo
Picture of Shai Pranesh
Picture of Nilaksh
Picture of Naga Karthik Enamundram
Picture of Kamran Chitsaz
Picture of Saurav Jha
Picture of Jerry Huang
Picture of Davide Baldelli
Picture of Diego Cerda Mardini
Picture of Simon Guiroy
Picture of Nour Shaheen
Picture of Arsenii Kuznetsov
Picture of Achille Sowa
Picture of Mathieu Reymond
Picture of Behnoush Khavari
Picture of Hadi Nekoei
Picture of Louis Clouâtre
Picture of Roshan Balaji
Picture of Gabriele Prato
Picture of Istabrak Abbes
Picture of Alex Aselstyne
Picture of David Heurtel-Depeiges
Picture of Lola Le Breton
Picture of Maryam Hashemzadeh
Picture of Sarath Chandar
Picture of Pranshu Malviya
Picture of Abdelrahman Zayed
Picture of Milan Bhan
Picture of Prashant Govindarajan
Picture of Darshan Patil
Picture of Ekaterina Lobacheva
Picture of Anabel XL
Picture of Artem Zholus
Picture of Aidan Li
Picture of Xutong Zhao

About the Lab

Chandar Research Lab (CRL) is a machine learning research group in the Department of Computer and Software Engineering at Polytechnique Montreal. The long-term mission of our group is to develop interactive learning algorithms that continuously learn from experiences. Currently, the lab focuses on several areas in machine learning including Deep Learning, Reinforcement Learning, Lifelong Learning, and Natural Language Processing.

CRL is also affiliated with Mila, the Quebec AI Institute.

News

  • (October 2025) We’ve opened the 2025 iteration of the CRL Graduate Studies Application Assistance Program for Underrepresented Students in AI. Apply here

  • (September 2025) We’ll be having our annual CRL Symposium 2025 on August 19-20. Come check it out!

  • (August 2025) Two works on RLHF and representation steering accepted to COLM 2025.

  • (July 2025) One work on point tracking accepted to ICCV 2025.

  • (June 2025) One paper accepted to ACL 2025 and two more accepted to Findings.

  • (June 2025) Two works accepted to CoLLAs 2025.

  • (February 2025) Our work on generalization in multi-agent Hanabi accepted to ICLR 2025.

  • ( 2024) One work on building LLMs for 3D molecule generation accepted to AAAI 2025.