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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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Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning

Dec 11, 2019
Riashat Islam, Raihan Seraj, Samin Yeasar Arnob, Doina Precup

* In Submission; Appeared at NeurIPS 2019 Workshop on Safety and Robustness in Decision Making 

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Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods

Dec 11, 2019
Riashat Islam, Raihan Seraj, Pierre-Luc Bacon, Doina Precup

* In Submission; Appeared at NeurIPS 2019 Optimization Foundations of Reinforcement Learning Workshop 

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Off-Policy Policy Gradient Algorithms by Constraining the State Distribution Shift

Dec 01, 2019
Riashat Islam, Komal K. Teru, Deepak Sharma, Joelle Pineau

* Accepted at NeurIPS 2019 workshop on Deep Reinforcement Learning 

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Transfer Learning by Modeling a Distribution over Policies

Jun 09, 2019
Disha Shrivastava, Eeshan Gunesh Dhekane, Riashat Islam

* Accepted at the ICML 2019 workshop on Multi-Task and Lifelong Reinforcement Learning 

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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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An Introduction to Deep Reinforcement Learning

Dec 03, 2018
Vincent Francois-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau

* Foundations and Trends in Machine Learning: Vol. 11, No. 3-4, 2018 

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Prioritizing Starting States for Reinforcement Learning

Nov 27, 2018
Arash Tavakoli, Vitaly Levdik, Riashat Islam, Petar Kormushev

* NeurIPS 2018 Deep RL Workshop (A. T. and V. L. equal contribution) 

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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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Bayesian Hypernetworks

Apr 24, 2018
David Krueger, Chin-Wei Huang, Riashat Islam, Ryan Turner, Alexandre Lacoste, Aaron Courville

* David Krueger and Chin-Wei Huang contributed equally 

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Bayesian Policy Gradients via Alpha Divergence Dropout Inference

Dec 06, 2017
Peter Henderson, Thang Doan, Riashat Islam, David Meger

* Accepted to Bayesian Deep Learning Workshop at NIPS 2017 

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Deep Reinforcement Learning that Matters

Nov 24, 2017
Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger

* Accepted to the Thirthy-Second AAAI Conference On Artificial Intelligence (AAAI), 2018 

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Alpha-Divergences in Variational Dropout

Nov 12, 2017
Bogdan Mazoure, Riashat Islam

* Bogdan Mazoure and Riashat Islam contributed equally 

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Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control

Aug 10, 2017
Riashat Islam, Peter Henderson, Maziar Gomrokchi, Doina Precup

* Accepted to Reproducibility in Machine Learning Workshop, ICML'17 

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Deep Bayesian Active Learning with Image Data

Mar 08, 2017
Yarin Gal, Riashat Islam, Zoubin Ghahramani


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