Maxime Chevalier-Boisvert

Maxime Chevalier-Boisvert has 3 papers in our library, in 2010–2023; often with Lucas Willems, Salem Lahlou, Chitwan Saharia.

3 papers in our library · 2010–2023

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Of its works in our library, with the number of works on each.

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BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning (2018 · 123 citations)
Training agents to follow language instructions with a human in the loop could make AI assistants easier to customize.
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks (2023 · 25 citations)
Popular RL benchmark suites such as Gym and dm_control mostly test motor control or visual perception. They are poorly suited to studying goal-directed reasoning or instruction following, and adding new objectives to them is hard. The authors present Minigrid, a collection of 2D GridWorld tasks, and Miniworld, a set…
Optimizing MATLAB through just-in-time specialization (2010 · 4 citations)
Matlab is popular with scientists, but its dynamic, implicitly typed semantics make it hard to compile into fast code.

9 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 85 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated 3 November 2026