Cote, Marc-Alexandre

16 publications

NeurIPS 2024 DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents Peter Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark

ICML 2024 Language-Guided Skill Learning with Temporal Variational Inference Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan

ICLRW 2024 Language-Guided Skill Learning with Temporal Variational Inference Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan

NeurIPS 2024 Policy Improvement Using Language Feedback Models Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté

CoLLAs 2024 Sub-Goal Distillation: A Method to Improve Small Language Agents Maryam Hashemzadeh, Elias Stengel-Eskin, Sarath Chandar, Marc-Alexandre Côté

CoLLAs 2023 Augmenting Autotelic Agents with Large Language Models Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté

NeurIPS 2023 Joint Prompt Optimization of Stacked LLMs Using Variational Inference Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux

ICML 2022 Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander Schwing

ICLR 2021 ALFWorld: Aligning Text and Embodied Environments for Interactive Learning Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Cote, Yonatan Bisk, Adam Trischler, Matthew Hausknecht

NeurIPS 2020 Graph Policy Network for Transferable Active Learning on Graphs Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang

AAAI 2020 Interactive Fiction Games: A Colossal Adventure Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan

NeurIPS 2020 Learning Dynamic Belief Graphs to Generalize on Text-Based Games Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláš Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, Will Hamilton

NeurIPS 2019 Unsupervised State Representation Learning in Atari Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, R Devon Hjelm

IJCAI 2018 TextWorld: A Learning Environment for Text-Based Games Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew J. Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler

NeurIPS 2017 Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal ALIAS PARTH Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio

JMLR 2016 Neural Autoregressive Distribution Estimation Benigno Uria, Marc-Alexandre Côté, Karol Gregor, Iain Murray, Hugo Larochelle