Marc-Alexandre Côté

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 68

Top Topics

Language Understanding

Variational Inference

Collaborative Environment

Top Venues

NeurIPS (Competition and Demos)

Publications

Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan
Language-guided Skill Learning with Temporal Variational Inference. CoRR (2024)
Shrestha Mohanty, Negar Arabzadeh, Andrea Tupini, Yuxuan Sun, Alexey Skrynnik, Artem Zholus, Marc-Alexandre Côté, Julia Kiseleva
IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents. CoRR (2024)
Peter A. Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark
DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents. CoRR (2024)
Ruoyao Wang, Graham Todd, Ziang Xiao, Xingdi Yuan, Marc-Alexandre Côté, Peter Clark, Peter A. Jansen
Can Language Models Serve as Text-Based World Simulators? CoRR (2024)
Maryam Hashemzadeh, Elias Stengel-Eskin, Sarath Chandar, Marc-Alexandre Côté
Sub-goal Distillation: A Method to Improve Small Language Agents. CoRR (2024)
Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu
OPEx: A Large Language Model-Powered Framework for Embodied Instruction Following. AAMAS (2024)
Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following. ACL (1) (2024)
Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following. CoRR (2024)
Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
Policy Improvement using Language Feedback Models. CoRR (2024)
Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu
Enhancing Agent Learning through World Dynamics Modeling. CoRR (2024)
Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
Joint Prompt Optimization of Stacked LLMs using Variational Inference. NeurIPS (2023)
Peter Jansen, Marc-Alexandre Côté
TextWorldExpress: Simulating Text Games at One Million Steps Per Second. EACL (System Demonstrations) (2023)
Laetitia Teodorescu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld. CoRR (2023)
Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme
One-Shot Learning from a Demonstration with Hierarchical Latent Language. AAMAS (2023)
Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu
Behavior Cloned Transformers are Neurosymbolic Reasoners. EACL (2023)
Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté
Augmenting Autotelic Agents with Large Language Models. CoRR (2023)
Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference. CoRR (2023)
Ruoyao Wang, Graham Todd, Xingdi Yuan, Ziang Xiao, Marc-Alexandre Côté, Peter A. Jansen
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games. EMNLP (2023)
Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté
Augmenting Autotelic Agents with Large Language Models. CoLLAs (2023)
Ruoyao Wang, Graham Todd, Eric Yuan, Ziang Xiao, Marc-Alexandre Côté, Peter Jansen
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games. CoRR (2023)
Laetitia Teodorescu, Eric Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer
Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents. CoRR (2022)
Ruoyao Wang, Peter A. Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu
ScienceWorld: Is your Agent Smarter than a 5th Grader? EMNLP (2022)
Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander G. Schwing
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language. ICML (2022)
Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail S. Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr I. Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Hassan Awadallah
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022. CoRR (2022)
Ruoyao Wang, Peter A. Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu
Behavior Cloned Transformers are Neurosymbolic Reasoners. CoRR (2022)
Shrestha Mohanty, Negar Arabzadeh, Milagro Teruel, Yuxuan Sun, Artem Zholus, Alexey Skrynnik, Mikhail S. Burtsev, Kavya Srinet, Aleksandr Panov, Arthur Szlam, Marc-Alexandre Côté, Julia Kiseleva
Collecting Interactive Multi-modal Datasets for Grounded Language Understanding. CoRR (2022)
Peter A. Jansen, Marc-Alexandre Côté
TextWorldExpress: Simulating Text Games at One Million Steps Per Second. CoRR (2022)
Artem Zholus, Alexey Skrynnik, Shrestha Mohanty, Zoya Volovikova, Julia Kiseleva, Arthur Szlam, Marc-Alexandre Côté, Aleksandr I. Panov
IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents. CoRR (2022)
Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail S. Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr I. Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Marc-Alexandre Côté, Katja Hofmann, Ahmed Hassan Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszádi, Michiel van der Meer, Taewoon Kim
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. CoRR (2022)
Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme
One-Shot Learning from a Demonstration with Hierarchical Latent Language. CoRR (2022)
Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander G. Schwing
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language. CoRR (2022)
Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu
ScienceWorld: Is your Agent Smarter than a 5th Grader? CoRR (2022)
Alexey Skrynnik, Zoya Volovikova, Marc-Alexandre Côté, Anton Voronov, Artem Zholus, Negar Arabzadeh, Shrestha Mohanty, Milagro Teruel, Ahmed Hassan Awadallah, Aleksandr Panov, Mikhail S. Burtsev, Julia Kiseleva
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions. CoRR (2022)
Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail S. Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Marc-Alexandre Côté, Ahmed Hassan Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszádi, Michiel van der Meer, Taewoon Kim
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. NeurIPS (Competition and Demos) (2021)
Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah, Seungeun Rho, Taehwan Kwon, Daniel Wontae Nam, Felipe Bivort Haiek, Edwin Zhang, Linar Abdrazakov, Guo Qingyam, Jason Zhang, Zhibin Guo
Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. NeurIPS (Competition and Demos) (2021)
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew J. Hausknecht
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning. ICLR (2021)
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew J. Hausknecht
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning. CoRR (2020)
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
Learning Dynamic Belief Graphs to Generalize on Text-Based Games. NeurIPS (2020)
Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
Interactive Fiction Games: A Colossal Adventure. AAAI (2020)
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games. CoRR (2020)
Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang
Graph Policy Network for Transferable Active Learning on Graphs. NeurIPS (2020)
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Chris Pal, Adam Trischler
Interactive Machine Comprehension with Information Seeking Agents. ACL (2020)
Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang
Graph Policy Network for Transferable Active Learning on Graphs. CoRR (2020)
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio, Adam Trischler
Interactive Language Learning by Question Answering. CoRR (2019)
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler
Interactive Language Learning by Question Answering. EMNLP/IJCNLP (1) (2019)
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, R. Devon Hjelm
Unsupervised State Representation Learning in Atari. CoRR (2019)
Mikulas Zelinka, Xingdi Yuan, Marc-Alexandre Côté, Romain Laroche, Adam Trischler
Building Dynamic Knowledge Graphs from Text-based Games. CoRR (2019)
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher J. Pal, Adam Trischler
Interactive Machine Comprehension with Information Seeking Agents. CoRR (2019)
Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
Interactive Fiction Games: A Colossal Adventure. CoRR (2019)
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, R. Devon Hjelm
Unsupervised State Representation Learning in Atari. NeurIPS (2019)
Ákos Kádár, Desmond Elliott, Marc-Alexandre Côté, Grzegorz Chrupala, Afra Alishahi
Lessons Learned in Multilingual Grounded Language Learning. CoNLL (2018)
Ákos Kádár, Marc-Alexandre Côté, Grzegorz Chrupala, Afra Alishahi
Revisiting the Hierarchical Multiscale LSTM. CoRR (2018)
Eleftherios Garyfallidis, Marc-Alexandre Côté, Francois Rheault, Jasmeen Sidhu, Janice Hau, Laurent Petit, David Fortin, Stephen Cunanne, Maxime Descoteaux
Recognition of white matter bundles using local and global streamline-based registration and clustering. NeuroImage 170 (2018)
Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew J. Hausknecht, Adam Trischler
Counting to Explore and Generalize in Text-based Games. CoRR (2018)
Ruo Yu Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri
Towards Solving Text-based Games by Producing Adaptive Action Spaces. CoRR (2018)
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
TextWorld: A Learning Environment for Text-Based Games. CGW@IJCAI (2018)
Ákos Kádár, Marc-Alexandre Côté, Grzegorz Chrupala, Afra Alishahi
Revisiting the Hierarchical Multiscale LSTM. COLING (2018)
Ákos Kádár, Desmond Elliott, Marc-Alexandre Côté, Grzegorz Chrupala, Afra Alishahi
Lessons learned in multilingual grounded language learning. CoRR (2018)
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
TextWorld: A Learning Environment for Text-based Games. CoRR (2018)
Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio
Z-Forcing: Training Stochastic Recurrent Networks. CoRR (2017)
Peter F. Neher, Marc-Alexandre Côté, Jean-Christophe Houde, Maxime Descoteaux, Klaus H. Maier-Hein
Fiber tractography using machine learning. NeuroImage 158 (2017)
Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio
Z-Forcing: Training Stochastic Recurrent Networks. NIPS (2017)
A. Chekir, Salima Hassas, Maxime Descoteaux, Marc-Alexandre Côté, Eleftherios Garyfallidis, Fatima Oulebsir-Boumghar
3D-SSF: A bio-inspired approach for dynamic multi-subject clustering of white matter tracts. Comput. Biol. Medicine 83 (2017)
Philippe Poulin, Marc-Alexandre Côté, Jean-Christophe Houde, Laurent Petit, Peter F. Neher, Klaus H. Maier-Hein, Hugo Larochelle, Maxime Descoteaux
Learn to Track: Deep Learning for Tractography. MICCAI (1) (2017)
Benigno Uria, Marc-Alexandre Côté, Karol Gregor, Iain Murray, Hugo Larochelle
Neural Autoregressive Distribution Estimation. J. Mach. Learn. Res. 17 (2016)
Marc-Alexandre Côté, Hugo Larochelle
An Infinite Restricted Boltzmann Machine. Neural Comput. 28 (7) (2016)
Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang
Theano: A Python framework for fast computation of mathematical expressions. CoRR (2016)
Benigno Uria, Marc-Alexandre Côté, Karol Gregor, Iain Murray, Hugo Larochelle
Neural Autoregressive Distribution Estimation. CoRR (2016)
Marc-Alexandre Côté, Hugo Larochelle
An Infinite Restricted Boltzmann Machine. CoRR (2015)
Marc-Alexandre Côté, Gabriel Girard, Arnaud Boré, Eleftherios Garyfallidis, Jean-Christophe Houde, Maxime Descoteaux
Tractometer: Towards validation of tractography pipelines. Medical Image Anal. 17 (7) (2013)
Marc-Alexandre Côté, Arnaud Boré, Gabriel Girard, Jean-Christophe Houde, Maxime Descoteaux
Tractometer: Online Evaluation System for Tractography. MICCAI (1) (2012)