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Pretraining Representations for Data-Efficient Reinforcement Learning

Jun 09, 2021
Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, Devon Hjelm, Philip Bachman, Aaron Courville

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Data-Efficient Reinforcement Learning with Momentum Predictive Representations

Jul 12, 2020
Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman

* The first two authors contributed equally to this work 

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Unsupervised State Representation Learning in Atari

Jun 26, 2019
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, R Devon Hjelm

* v2 fixes references to material in the appendix 

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Blindfold Baselines for Embodied QA

Nov 12, 2018
Ankesh Anand, Eugene Belilovsky, Kyle Kastner, Hugo Larochelle, Aaron Courville

* NIPS 2018 Visually-Grounded Interaction and Language (ViGilL) Workshop 

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MMGAN: Manifold Matching Generative Adversarial Network

Apr 12, 2018
Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, Youngmin Kim

* the 24th International Conference on Pattern Recognition (ICPR), 2018 

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HoME: a Household Multimodal Environment

Nov 29, 2017
Simon Brodeur, Ethan Perez, Ankesh Anand, Florian Golemo, Luca Celotti, Florian Strub, Jean Rouat, Hugo Larochelle, Aaron Courville

* Presented at NIPS 2017's Visually-Grounded Interaction and Language Workshop 

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We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!

Dec 05, 2016
Ankesh Anand, Tanmoy Chakraborty, Noseong Park

* Accepted to the European Conference on Information Retrieval (ECIR), 2017 

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