Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing
M. Hashemzadeh, Jerry Huang, Minseon Kim, Marc-Alexandre Côté, Sarath Chandar
May 2026
arXiv | May 2026
Marc-Alexandre Côté
Chercheur principal
Publications
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Gistify! Codebase-Level Understanding via Runtime Execution
Hyunji Lee, Minseon Kim, Chinmay Singh, Matheus Pereira, Atharv Sonwane, Isadora White, Elias Stengel-Eskin, Mohit Bansal, Zhengyan Shi, Alessandro Sordoni, Marc-Alexandre Côté, Éric Yuan, Lucas Caccia
ICLR 2026 | October 2025
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Learning to Solve Complex Problems via Dataset Decomposition
Wanru Zhao, Lucas Caccia, Zhengyan Shi, Minseon Kim, Éric Yuan, Weijia Xu, Marc-Alexandre Côté, Alessandro Sordoni
NeurIPS 2025 | July 2025
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TALES: Text Adventure Learning Environment Suite
Christopher Zhang Cui, Éric Yuan, Zhang Xiao, Prithviraj Ammanabrolu, Marc-Alexandre Côté
April 2025
arXiv | April 2025
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debug-gym: A Text-Based Environment for Interactive Debugging
Éric Yuan, Morgane M Moss, Charbel Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté
March 2025
ArXiv | March 2025
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Language-guided Skill Learning with Temporal Variational Inference
Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Éric Yuan
ICML 2024 | July 2024
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DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
Peter Alexander Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark
NeurIPS 2024 | June 2024
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Policy Improvement using Language Feedback Models
Victor Zhong, Dipendra Misra, Éric Yuan, Marc-Alexandre Côté
NeurIPS 2024 | February 2024
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Joint Prompt Optimization of Stacked LLMs using Variational Inference
Alessandro Sordoni, Éric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
NeurIPS 2023 | October 2023
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Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language
Iou-Jen Liu, Éric Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alex Schwing
ICML 2022 | July 2022
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ScienceWorld: Is your Agent Smarter than a 5th Grader?
Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu
Science World | March 2022
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One-Shot Learning from a Demonstration with Hierarchical Latent Language
Nathaniel Weir, Éric Yuan, Marc-Alexandre Côté, Matthew Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Ben Van Durme
March 2022
arXiv | March 2022
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ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Éric Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
October 2020
arXiv | October 2020
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Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Ashutosh Adhikari, Éric Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
NeurIPS 2020 | October 2020
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Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, Devon Hjelm
NeurIPS 2019 | December 2019
ArXiv
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Interactive Language Learning by Question Answering
Éric Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
EMNLP | November 2019
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Interactive Fiction Games: A Colossal Adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Éric Yuan
AAAI 2020 | October 2019
ArXiv
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Interactive Machine Comprehension with Information Seeking Agents
Éric Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
August 2019
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Towards Solving Text-based Games by Producing Adaptive Action Spaces
Ruo Yu (David) Tao, Marc-Alexandre Côté, Éric Yuan, Layla El Asri
32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. | December 2018
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Counting to Explore and Generalize in Text-based Games
Éric Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
European Workshop on Reinforcement Learning (EWRL) | October 2018
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Counting to Explore and Generalize in Text-based Games
Éric Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
ICML 2018 | June 2018
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TextWorld: A Learning Environment for Text-based Games
Marc-Alexandre Côté, Ákos Kádár, Éric Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler
Computer Games Workshop at ICML/IJCAI 2018 | June 2018
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Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio
31st Conference on Neural Information Processing Systems (NIPS 2017 - Advances in Neural Information Processing Systems) | November 2017
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Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing
M. Hashemzadeh, Jerry Huang, Minseon Kim, Marc-Alexandre Côté, Sarath Chandar
May 2026
arXiv | May 2026
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Gistify! Codebase-Level Understanding via Runtime Execution
Hyunji Lee, Minseon Kim, Chinmay Singh, Matheus Pereira, Atharv Sonwane, Isadora White, Elias Stengel-Eskin, Mohit Bansal, Zhengyan Shi, Alessandro Sordoni, Marc-Alexandre Côté, Éric Yuan, Lucas Caccia
ICLR 2026 | October 2025
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Learning to Solve Complex Problems via Dataset Decomposition
Wanru Zhao, Lucas Caccia, Zhengyan Shi, Minseon Kim, Éric Yuan, Weijia Xu, Marc-Alexandre Côté, Alessandro Sordoni
NeurIPS 2025 | July 2025
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TALES: Text Adventure Learning Environment Suite
Christopher Zhang Cui, Éric Yuan, Zhang Xiao, Prithviraj Ammanabrolu, Marc-Alexandre Côté
April 2025
arXiv | April 2025
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debug-gym: A Text-Based Environment for Interactive Debugging
Éric Yuan, Morgane M Moss, Charbel Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté
March 2025
ArXiv | March 2025
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Language-guided Skill Learning with Temporal Variational Inference
Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Éric Yuan
ICML 2024 | July 2024
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DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
Peter Alexander Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark
NeurIPS 2024 | June 2024
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Policy Improvement using Language Feedback Models
Victor Zhong, Dipendra Misra, Éric Yuan, Marc-Alexandre Côté
NeurIPS 2024 | February 2024
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Joint Prompt Optimization of Stacked LLMs using Variational Inference
Alessandro Sordoni, Éric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
NeurIPS 2023 | October 2023
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Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language
Iou-Jen Liu, Éric Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alex Schwing
ICML 2022 | July 2022
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ScienceWorld: Is your Agent Smarter than a 5th Grader?
Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu
Science World | March 2022
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One-Shot Learning from a Demonstration with Hierarchical Latent Language
Nathaniel Weir, Éric Yuan, Marc-Alexandre Côté, Matthew Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Ben Van Durme
March 2022
arXiv | March 2022
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ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Éric Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
October 2020
arXiv | October 2020
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Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Ashutosh Adhikari, Éric Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
NeurIPS 2020 | October 2020
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Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, Devon Hjelm
NeurIPS 2019 | December 2019
ArXiv
-
Interactive Language Learning by Question Answering
Éric Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
EMNLP | November 2019
-
Interactive Fiction Games: A Colossal Adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Éric Yuan
AAAI 2020 | October 2019
ArXiv
-
Interactive Machine Comprehension with Information Seeking Agents
Éric Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
August 2019
-
Towards Solving Text-based Games by Producing Adaptive Action Spaces
Ruo Yu (David) Tao, Marc-Alexandre Côté, Éric Yuan, Layla El Asri
32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. | December 2018
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Counting to Explore and Generalize in Text-based Games
Éric Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
European Workshop on Reinforcement Learning (EWRL) | October 2018
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Counting to Explore and Generalize in Text-based Games
Éric Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
ICML 2018 | June 2018
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TextWorld: A Learning Environment for Text-based Games
Marc-Alexandre Côté, Ákos Kádár, Éric Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler
Computer Games Workshop at ICML/IJCAI 2018 | June 2018
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Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio
31st Conference on Neural Information Processing Systems (NIPS 2017 - Advances in Neural Information Processing Systems) | November 2017
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debug-gym: A Text-Based Environment for Interactive Debugging
Éric Yuan, Morgane M Moss, Charbel Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté
March 2025
ArXiv | March 2025
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ScienceWorld: Is your Agent Smarter than a 5th Grader?
Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu
Science World | March 2022
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One-Shot Learning from a Demonstration with Hierarchical Latent Language
Nathaniel Weir, Éric Yuan, Marc-Alexandre Côté, Matthew Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Ben Van Durme
March 2022
arXiv | March 2022
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ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Éric Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
October 2020
arXiv | October 2020
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ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Éric Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
October 2020
arXiv | October 2020
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Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Ashutosh Adhikari, Éric Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
NeurIPS 2020 | October 2020
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Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing
M. Hashemzadeh, Jerry Huang, Minseon Kim, Marc-Alexandre Côté, Sarath Chandar
May 2026
arXiv | May 2026
-
TALES: Text Adventure Learning Environment Suite
Christopher Zhang Cui, Éric Yuan, Zhang Xiao, Prithviraj Ammanabrolu, Marc-Alexandre Côté
April 2025
arXiv | April 2025
-
debug-gym: A Text-Based Environment for Interactive Debugging
Éric Yuan, Morgane M Moss, Charbel Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté
March 2025
ArXiv | March 2025
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One-Shot Learning from a Demonstration with Hierarchical Latent Language
Nathaniel Weir, Éric Yuan, Marc-Alexandre Côté, Matthew Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Ben Van Durme
March 2022
arXiv | March 2022
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ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Éric Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
October 2020
arXiv | October 2020
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Gistify! Codebase-Level Understanding via Runtime Execution
Hyunji Lee, Minseon Kim, Chinmay Singh, Matheus Pereira, Atharv Sonwane, Isadora White, Elias Stengel-Eskin, Mohit Bansal, Zhengyan Shi, Alessandro Sordoni, Marc-Alexandre Côté, Éric Yuan, Lucas Caccia
ICLR 2026 | October 2025
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Learning to Solve Complex Problems via Dataset Decomposition
Wanru Zhao, Lucas Caccia, Zhengyan Shi, Minseon Kim, Éric Yuan, Weijia Xu, Marc-Alexandre Côté, Alessandro Sordoni
NeurIPS 2025 | July 2025
-
Language-guided Skill Learning with Temporal Variational Inference
Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Éric Yuan
ICML 2024 | July 2024
-
DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
Peter Alexander Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark
NeurIPS 2024 | June 2024
-
Policy Improvement using Language Feedback Models
Victor Zhong, Dipendra Misra, Éric Yuan, Marc-Alexandre Côté
NeurIPS 2024 | February 2024
-
Joint Prompt Optimization of Stacked LLMs using Variational Inference
Alessandro Sordoni, Éric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
NeurIPS 2023 | October 2023
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Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language
Iou-Jen Liu, Éric Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alex Schwing
ICML 2022 | July 2022
-
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Ashutosh Adhikari, Éric Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
NeurIPS 2020 | October 2020
-
Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, Devon Hjelm
NeurIPS 2019 | December 2019
ArXiv
-
Interactive Language Learning by Question Answering
Éric Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
EMNLP | November 2019
-
Interactive Fiction Games: A Colossal Adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Éric Yuan
AAAI 2020 | October 2019
ArXiv
-
Towards Solving Text-based Games by Producing Adaptive Action Spaces
Ruo Yu (David) Tao, Marc-Alexandre Côté, Éric Yuan, Layla El Asri
32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. | December 2018
-
Counting to Explore and Generalize in Text-based Games
Éric Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
European Workshop on Reinforcement Learning (EWRL) | October 2018
-
Counting to Explore and Generalize in Text-based Games
Éric Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
ICML 2018 | June 2018
-
TextWorld: A Learning Environment for Text-based Games
Marc-Alexandre Côté, Ákos Kádár, Éric Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler
Computer Games Workshop at ICML/IJCAI 2018 | June 2018
-
Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio
31st Conference on Neural Information Processing Systems (NIPS 2017 - Advances in Neural Information Processing Systems) | November 2017
-
-
-
ScienceWorld: Is your Agent Smarter than a 5th Grader?
Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu
Science World | March 2022
-
-
-
Interactive Machine Comprehension with Information Seeking Agents
Éric Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
August 2019
-