McLab: an extensible compiler toolkit for MATLAB and related languages. - Andrew Casey; Jun Li; Jesse Doherty; Maxime Chevalier-Boisvert; Toheed Aslam; Anton Dubrau; Nurudeen Lameed; Amina Aslam; Rahul Garg 003; Soroush Radpour; Olivier Savary Bélanger; Laurie J. Hendren; et al. (C3S2E, 2010)

Optimizing Matlab through Just-In-Time Specialization. - Maxime Chevalier-Boisvert; Laurie J. Hendren; Clark Verbrugge (CC, 2010)

Bootstrapping a self-hosted research virtual machine for JavaScript: an experience report. - Maxime Chevalier-Boisvert; Erick Lavoie; Marc Feeley; Bruno Dufour (DLS, 2011)

McLAB: enabling programming language, compiler and software engineering research for matlab. - Laurie J. Hendren; Jesse Doherty; Anton Dubrau; Rahul Garg 003; Nurudeen Lameed; Soroush Radpour; Amina Aslam; Toheed Aslam; Andrew Casey; Maxime Chevalier-Boisvert; Jun Li; Clark Verbrugge; et al. (OOPSLA Companion, 2011)

Removing Dynamic Type Tests with Context-Driven Basic Block Versioning. - Maxime Chevalier-Boisvert; Marc Feeley (CoRR, 2014)

Simple and Effective Type Check Removal through Lazy Basic Block Versioning. - Maxime Chevalier-Boisvert; Marc Feeley (ECOOP, 2015)

Extending Basic Block Versioning with Typed Object Shapes. - Maxime Chevalier-Boisvert; Marc Feeley (CoRR, 2015)

Interprocedural Type Specialization of JavaScript Programs Without Type Analysis. - Maxime Chevalier-Boisvert; Marc Feeley (ECOOP, 2016)

BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop. - Maxime Chevalier-Boisvert; Dzmitry Bahdanau; Salem Lahlou; Lucas Willems; Chitwan Saharia; Thien Huu Nguyen; Yoshua Bengio (CoRR, 2018)

BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning. - Maxime Chevalier-Boisvert; Dzmitry Bahdanau; Salem Lahlou; Lucas Willems; Chitwan Saharia; Thien Huu Nguyen; Yoshua Bengio (ICLR (Poster), 2019)

Robo-PlaNet: Learning to Poke in a Day. - Maxime Chevalier-Boisvert; Guillaume Alain; Florian Golemo; Derek Nowrouzezahrai (CoRR, 2019)

Automated curriculum generation for Policy Gradients from Demonstrations. - Anirudh Srinivasan; Dzmitry Bahdanau; Maxime Chevalier-Boisvert; Yoshua Bengio (CoRR, 2019)

Options of Interest: Temporal Abstraction with Interest Functions. - Khimya Khetarpal; Martin Klissarov; Maxime Chevalier-Boisvert; Pierre-Luc Bacon; Doina Precup (AAAI, 2020)

Combating False Negatives in Adversarial Imitation Learning (Student Abstract). - Konrad Zolna; Chitwan Saharia; Léonard Boussioux; David Yu-Tung Hui; Maxime Chevalier-Boisvert; Dzmitry Bahdanau; Yoshua Bengio (AAAI, 2020)

Option-Critic in Cooperative Multi-agent Systems. - Jhelum Chakravorty; Patrick Nadeem Ward; Julien Roy; Maxime Chevalier-Boisvert; Sumana Basu; Andrei Lupu; Doina Precup (AAMAS, 2020)

BabyAI 1.1. - David Yu-Tung Hui; Maxime Chevalier-Boisvert; Dzmitry Bahdanau; Yoshua Bengio (CoRR, 2020)

DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop. - Guillaume Alain; Maxime Chevalier-Boisvert; Frédéric Osterrath; Rémi Piché-Taillefer (CoRR, 2020)

Combating False Negatives in Adversarial Imitation Learning. - Konrad Zolna; Chitwan Saharia; Léonard Boussioux; David Yu-Tung Hui; Maxime Chevalier-Boisvert; Dzmitry Bahdanau; Yoshua Bengio (IJCNN, 2021)

YJIT: a basic block versioning JIT compiler for CRuby. - Maxime Chevalier-Boisvert; Noah Gibbs; Jean Boussier; Si Xing (Alan) Wu; Aaron Patterson; Kevin Newton; John Hawthorn (VMIL@SPLASH, 2021)

Are We Heading towards a Dynamic Language Winter? (Invited Talk). - Maxime Chevalier-Boisvert (DLS, 2023)

Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks. - Maxime Chevalier-Boisvert; Bolun Dai; Mark Towers; Rodrigo Perez-Vicente; Lucas Willems; Salem Lahlou; Suman Pal; Pablo Samuel Castro; Jordan K. Terry (NeurIPS, 2023)

Evaluating YJIT's Performance in a Production Context: A Pragmatic Approach. - Maxime Chevalier-Boisvert; Takashi Kokubun; Noah Gibbs; Si Xing (Alan) Wu; Aaron Patterson; Jemma Issroff (MPLR, 2023)

Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks. - Maxime Chevalier-Boisvert; Bolun Dai; Mark Towers; Rodrigo de Lazcano; Lucas Willems; Salem Lahlou; Suman Pal; Pablo Samuel Castro; Jordan K. Terry (CoRR, 2023)