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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
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(May 2023) Two papers accepted at CoLLAs 2023: adaptive model-based reinforcement learning and few-shot coordination in Hanabi.
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(May 2023) Our work on cooperative multi-agent reinforcement learning was accepted at UAI 2023.
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(November 2022) Our work on data pruning for fairness was accepted at AAAI 2023.
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(October 2022) Our work on local structure in NLP was accepted at AACL-IJCNLP 2022.
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(October 2022) Our work on post-hoc NLP interpretability was accepted at ACM Computing Surveys.
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(October 2022) Our work on multilingual NLP models and importance measures in NLP was accepted at Findings of EMNLP 2022.
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(August 2022) Two papers accepted at CoLLAs 2022: optimization for lifelong learning and meta-learning generalization.
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(July 2022) We highlighted our research at the CRL Symposium 2022 on August 11th.
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(May 2022) Our work on constrained music generation was accepted at CP 2022.
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(May 2022) Two papers accepted at ICML 2022: adaptivity evaluation in RL and sequential model optimization.
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(February 2022) Our work on perturbation in NLU was accepted at Findings of ACL 2022.
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(January 2022) Our work on memory-augmented optimizers was accepted at ICLR 2022.