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Maxime Chevalier-Boisvert
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2020 – today
- 2023
- [c15]Maxime Chevalier-Boisvert:
Are We Heading towards a Dynamic Language Winter? (Invited Talk). DLS 2023: 2 - [c14]Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo Perez-Vicente, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro, Jordan K. Terry:
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks. NeurIPS 2023 - [c13]Maxime Chevalier-Boisvert, Takashi Kokubun, Noah Gibbs, Si Xing (Alan) Wu, Aaron Patterson, Jemma Issroff:
Evaluating YJIT's Performance in a Production Context: A Pragmatic Approach. MPLR 2023: 20-33 - [i13]Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo de Lazcano, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro, Jordan K. Terry:
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks. CoRR abs/2306.13831 (2023) - 2021
- [c12]Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio:
Combating False Negatives in Adversarial Imitation Learning. IJCNN 2021: 1-9 - [c11]Maxime Chevalier-Boisvert, Noah Gibbs, Jean Boussier, Si Xing (Alan) Wu, Aaron Patterson, Kevin Newton, John Hawthorn:
YJIT: a basic block versioning JIT compiler for CRuby. VMIL@SPLASH 2021: 25-32 - 2020
- [c10]Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup:
Options of Interest: Temporal Abstraction with Interest Functions. AAAI 2020: 4444-4451 - [c9]Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio:
Combating False Negatives in Adversarial Imitation Learning (Student Abstract). AAAI 2020: 13999-14000 - [c8]Jhelum Chakravorty, Patrick Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu, Doina Precup:
Option-Critic in Cooperative Multi-agent Systems. AAMAS 2020: 1792-1794 - [i12]Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup:
Options of Interest: Temporal Abstraction with Interest Functions. CoRR abs/2001.00271 (2020) - [i11]Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio:
Combating False Negatives in Adversarial Imitation Learning. CoRR abs/2002.00412 (2020) - [i10]David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio:
BabyAI 1.1. CoRR abs/2007.12770 (2020) - [i9]Guillaume Alain, Maxime Chevalier-Boisvert, Frédéric Osterrath, Rémi Piché-Taillefer:
DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop. CoRR abs/2008.04391 (2020)
2010 – 2019
- 2019
- [c7]Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio:
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning. ICLR (Poster) 2019 - [i8]Maxime Chevalier-Boisvert, Guillaume Alain, Florian Golemo, Derek Nowrouzezahrai:
Robo-PlaNet: Learning to Poke in a Day. CoRR abs/1911.03594 (2019) - [i7]Jhelum Chakravorty, Patrick Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu, Doina Precup:
Option-critic in cooperative multi-agent systems. CoRR abs/1911.12825 (2019) - [i6]Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert, Yoshua Bengio:
Automated curriculum generation for Policy Gradients from Demonstrations. CoRR abs/1912.00444 (2019) - 2018
- [i5]Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio:
BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop. CoRR abs/1810.08272 (2018) - 2016
- [c6]Maxime Chevalier-Boisvert, Marc Feeley:
Interprocedural Type Specialization of JavaScript Programs Without Type Analysis. ECOOP 2016: 7:1-7:24 - 2015
- [c5]Maxime Chevalier-Boisvert, Marc Feeley:
Simple and Effective Type Check Removal through Lazy Basic Block Versioning. ECOOP 2015: 101-123 - [i4]Maxime Chevalier-Boisvert, Marc Feeley:
Extending Basic Block Versioning with Typed Object Shapes. CoRR abs/1507.02437 (2015) - [i3]Maxime Chevalier-Boisvert, Marc Feeley:
Interprocedural Type Specialization of JavaScript Programs Without Type Analysis. CoRR abs/1511.02956 (2015) - 2014
- [i2]Maxime Chevalier-Boisvert, Marc Feeley:
Removing Dynamic Type Tests with Context-Driven Basic Block Versioning. CoRR abs/1401.3041 (2014) - [i1]Maxime Chevalier-Boisvert, Marc Feeley:
Simple and Effective Type Check Removal through Lazy Basic Block Versioning. CoRR abs/1411.0352 (2014) - 2011
- [c4]Maxime Chevalier-Boisvert, Erick Lavoie, Marc Feeley, Bruno Dufour:
Bootstrapping a self-hosted research virtual machine for JavaScript: an experience report. DLS 2011: 61-72 - [c3]Laurie J. Hendren, Jesse Doherty, Anton Dubrau, Rahul Garg, Nurudeen Lameed, Soroush Radpour, Amina Aslam, Toheed Aslam, Andrew Casey, Maxime Chevalier-Boisvert, Jun Li, Clark Verbrugge, Olivier Savary Bélanger:
McLAB: enabling programming language, compiler and software engineering research for matlab. OOPSLA Companion 2011: 195-196 - 2010
- [c2]Andrew Casey, Jun Li, Jesse Doherty, Maxime Chevalier-Boisvert, Toheed Aslam, Anton Dubrau, Nurudeen Lameed, Amina Aslam, Rahul Garg, Soroush Radpour, Olivier Savary Bélanger, Laurie J. Hendren, Clark Verbrugge:
McLab: an extensible compiler toolkit for MATLAB and related languages. C3S2E 2010: 114-117 - [c1]Maxime Chevalier-Boisvert, Laurie J. Hendren, Clark Verbrugge:
Optimizing Matlab through Just-In-Time Specialization. CC 2010: 46-65
Coauthor Index
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