Maxime Chevalier-Boisvert

According to our database, Maxime Chevalier-Boisvert authored at least 23 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Proceedings of the 20th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Are We Heading towards a Dynamic Language Winter? (Invited Talk).

Maxime Chevalier-Boisvert

Proceedings of the 19th ACM SIGPLAN International Symposium on Dynamic Languages, 2023

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

Proceedings of the VMIL 2021: Proceedings of the 13th ACM SIGPLAN International Workshop on Virtual Machines and Intermediate Languages, 2021

Combating False Negatives in Adversarial Imitation Learning.

Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio

Proceedings of the International Joint Conference on Neural Networks, 2021

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

BabyAI 1.1.

David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio

CoRR, 2020

Option-Critic in Cooperative Multi-agent Systems.

Jhelum Chakravorty, Patrick Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu, Doina Precup

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Options of Interest: Temporal Abstraction with Interest Functions.

Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Automated curriculum generation for Policy Gradients from Demonstrations.

Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert, Yoshua Bengio

CoRR, 2019

Robo-PlaNet: Learning to Poke in a Day.

Maxime Chevalier-Boisvert, Guillaume Alain, Florian Golemo, Derek Nowrouzezahrai

CoRR, 2019

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

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

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

2016

Interprocedural Type Specialization of JavaScript Programs Without Type Analysis.

Maxime Chevalier-Boisvert, Marc Feeley

Proceedings of the 30th European Conference on Object-Oriented Programming, 2016

2015

Extending Basic Block Versioning with Typed Object Shapes.

Maxime Chevalier-Boisvert, Marc Feeley

CoRR, 2015

Simple and Effective Type Check Removal through Lazy Basic Block Versioning.

Maxime Chevalier-Boisvert, Marc Feeley

Proceedings of the 29th European Conference on Object-Oriented Programming, 2015

2014

Removing Dynamic Type Tests with Context-Driven Basic Block Versioning.

Maxime Chevalier-Boisvert, Marc Feeley

CoRR, 2014

2011

McLAB: enabling programming language, compiler and software engineering research for matlab.

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

Proceedings of the Companion to the 26th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2011

Bootstrapping a self-hosted research virtual machine for JavaScript: an experience report.

Maxime Chevalier-Boisvert, Erick Lavoie, Marc Feeley, Bruno Dufour

Proceedings of the 7th Symposium on Dynamic Languages, 2011

2010

Optimizing Matlab through Just-In-Time Specialization.

Maxime Chevalier-Boisvert, Laurie J. Hendren, Clark Verbrugge

Proceedings of the Compiler Construction, 19th International Conference, 2010

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, Soroush Radpour, Olivier Savary Bélanger, Laurie J. Hendren, Clark Verbrugge

Proceedings of the Canadian Conference on Computer Science & Software Engineering, 2010