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Training a First-Order Theorem Prover from Synthetic Data


Mar 05, 2021
Vlad Firoiu, Eser Aygun, Ankit Anand, Zafarali Ahmed, Xavier Glorot, Laurent Orseau, Lei Zhang, Doina Precup, Shibl Mourad


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What can I do here? A Theory of Affordances in Reinforcement Learning


Jun 26, 2020
Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, David Abel, Doina Precup

* Thirty-seventh International Conference on Machine Learning (ICML 2020) 

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Learning to Prove from Synthetic Theorems


Jun 19, 2020
Eser Aygün, Zafarali Ahmed, Ankit Anand, Vlad Firoiu, Xavier Glorot, Laurent Orseau, Doina Precup, Shibl Mourad

* 17 pages, 6 figures, submitted to NeurIPS 2020 

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Marginalized State Distribution Entropy Regularization in Policy Optimization


Dec 11, 2019
Riashat Islam, Zafarali Ahmed, Doina Precup

* In Submission; Appeared at NeurIPS 2019 Deep Reinforcement Learning Workshop 

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InfoBot: Transfer and Exploration via the Information Bottleneck


Apr 04, 2019
Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Matthew Botvinick, Hugo Larochelle, Yoshua Bengio, Sergey Levine

* Accepted at ICLR'19 

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Understanding the impact of entropy on policy optimization


Nov 29, 2018
Zafarali Ahmed, Nicolas Le Roux, Mohammad Norouzi, Dale Schuurmans


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VFunc: a Deep Generative Model for Functions


Jul 11, 2018
Philip Bachman, Riashat Islam, Alessandro Sordoni, Zafarali Ahmed

* To be presented at the ICML 2018 workshop on Prediction and Generative Modeling in Reinforcement Learning 

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