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Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping


Jan 05, 2023
Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Alessandro Lazaric, Karteek Alahari

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* 6th Conference on Robot Learning (CoRL 2022) 
* Code: https://github.com/facebookresearch/go-fresh 

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The CRINGE Loss: Learning what language not to model


Nov 10, 2022
Leonard Adolphs, Tianyu Gao, Jing Xu, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston

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Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision


Jun 23, 2022
Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Karteek Alahari

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DIRECTOR: Generator-Classifiers For Supervised Language Modeling


Jun 15, 2022
Kushal Arora, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston

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Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL


Mar 21, 2022
Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio

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Hash Layers For Large Sparse Models


Jun 16, 2021
Stephen Roller, Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston

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Staircase Attention for Recurrent Processing of Sequences


Jun 08, 2021
Da Ju, Stephen Roller, Sainbayar Sukhbaatar, Jason Weston

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Not All Memories are Created Equal: Learning to Forget by Expiring


May 13, 2021
Sainbayar Sukhbaatar, Da Ju, Spencer Poff, Stephen Roller, Arthur Szlam, Jason Weston, Angela Fan

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Memory-Augmented Reinforcement Learning for Image-Goal Navigation


Jan 13, 2021
Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari

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