Maxime Chevalier-Boisvert

4 papers · 2019–2023 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

AAAI (2) ICLR (1) NeurIPS (1)

Top co-authors

Lucas Willems (2) Dzmitry Bahdanau (2) Chitwan Saharia (2) Salem Lahlou (2) Yoshua Bengio (2) Leonard Boussioux (1) Rodrigo Perez-Vicente (1) Mark Towers (1) Konrad Zołna (1) Martin Klissarov (1)

Research topics

Artificial Intelligence (4) Core AI (4) Machine Learning (3) Learning Types (3) Reinforcement Learning (2) Methods (2) Learning Paradigms (1)

Keywords

reinforcement learning (2) sample efficiency (2) transfer learning (1) policy gradient (1) instruction following (1) hierarchical reinforcement learning (1) skill discovery (1) temporal abstraction (1) adversarial imitation learning (1) behavioral cloning (1) option discovery (1) compositional language (1) false negative (1) gradient-based learning (1) goal-oriented task (1) modular design (1) reinforcement learning environment (1) goal-conditioned task (1) interest function (1) initiation set (1)

Papers

Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks NeurIPS 2023 Combating False Negatives in Adversarial Imitation Learning (Student Abstract) AAAI 2020 Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020 BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning ICLR 2019