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Maxime Chevalier-Boisvert

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Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks

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Jun 24, 2023
Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo de Lazcano, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro, Jordan Terry

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DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop

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Aug 26, 2020
Guillaume Alain, Maxime Chevalier-Boisvert, Frederic Osterrath, Remi Piche-Taillefer

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BabyAI 1.1

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Jul 24, 2020
David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio

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Combating False Negatives in Adversarial Imitation Learning

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Feb 02, 2020
Konrad Zolna, Chitwan Saharia, Leonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio

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Option-critic in cooperative multi-agent systems

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Jan 06, 2020
Jhelum Chakravorty, Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu, Doina Precup

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Options of Interest: Temporal Abstraction with Interest Functions

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Jan 01, 2020
Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup

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Automated curriculum generation for Policy Gradients from Demonstrations

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Dec 01, 2019
Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert, Yoshua Bengio

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Robo-PlaNet: Learning to Poke in a Day

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Nov 19, 2019
Maxime Chevalier-Boisvert, Guillaume Alain, Florian Golemo, Derek Nowrouzezahrai

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BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop

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Oct 27, 2018
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio

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