Zafarali Ahmed

According to our database, Zafarali Ahmed authored at least 11 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning.

Gheorghe Comanici, Amelia Glaese, Anita Gergely, Daniel Toyama, Zafarali Ahmed, Tyler Jackson, Philippe Hamel, Doina Precup

CoRR, 2022

2021

AndroidEnv: A Reinforcement Learning Platform for Android.

Daniel Toyama, Philippe Hamel, Anita Gergely, Gheorghe Comanici, Amelia Glaese, Zafarali Ahmed, Tyler Jackson, Shibl Mourad, Doina Precup

CoRR, 2021

Training a First-Order Theorem Prover from Synthetic Data.

Vlad Firoiu, Eser Aygün, Ankit Anand, Zafarali Ahmed, Xavier Glorot, Laurent Orseau, Lei M. Zhang, Doina Precup, Shibl Mourad

CoRR, 2021

Temporally Abstract Partial Models.

Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Learning to Prove from Synthetic Theorems.

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

CoRR, 2020

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

Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, David Abel, Doina Precup

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Marginalized State Distribution Entropy Regularization in Policy Optimization.

Riashat Islam, Zafarali Ahmed, Doina Precup

CoRR, 2019

Understanding the Impact of Entropy on Policy Optimization.

Zafarali Ahmed, Nicolas Le Roux, Mohammad Norouzi, Dale Schuurmans

Proceedings of the 36th International Conference on Machine Learning, 2019

InfoBot: Transfer and Exploration via the Information Bottleneck.

Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew M. Botvinick, Yoshua Bengio, Sergey Levine

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning proposals for sequential importance samplers using reinforced variational inference.

Zafarali Ahmed, Arjun Karuvally, Doina Precup, Simon Gravel

Proceedings of the Deep Reinforcement Learning Meets Structured Prediction, 2019

2018

VFunc: a Deep Generative Model for Functions.

Philip Bachman, Riashat Islam, Alessandro Sordoni, Zafarali Ahmed

CoRR, 2018