Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Diana Borsa

When should agents explore?

Aug 26, 2021
Miruna Pîslar, David Szepesvari, Georg Ostrovski, Diana Borsa, Tom Schaul

  Access Paper or Ask Questions

The Option Keyboard: Combining Skills in Reinforcement Learning

Jun 24, 2021
André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan Hunt, Shibl Mourad, David Silver, Doina Precup

* Published at NeurIPS 2019 

  Access Paper or Ask Questions

Return-based Scaling: Yet Another Normalisation Trick for Deep RL

May 11, 2021
Tom Schaul, Georg Ostrovski, Iurii Kemaev, Diana Borsa

  Access Paper or Ask Questions

Expected Eligibility Traces

Jul 03, 2020
Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa

  Access Paper or Ask Questions

Adapting Behaviour for Learning Progress

Dec 14, 2019
Tom Schaul, Diana Borsa, David Ding, David Szepesvari, Georg Ostrovski, Will Dabney, Simon Osindero

  Access Paper or Ask Questions

Conditional Importance Sampling for Off-Policy Learning

Oct 16, 2019
Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rémi Munos, Will Dabney

  Access Paper or Ask Questions

General non-linear Bellman equations

Jul 08, 2019
Hado van Hasselt, John Quan, Matteo Hessel, Zhongwen Xu, Diana Borsa, Andre Barreto

  Access Paper or Ask Questions

Ray Interference: a Source of Plateaus in Deep Reinforcement Learning

Apr 25, 2019
Tom Schaul, Diana Borsa, Joseph Modayil, Razvan Pascanu

* Full version of RLDM abstract 

  Access Paper or Ask Questions

The Termination Critic

Feb 26, 2019
Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Remi Munos, Doina Precup

* AISTATS 2019 

  Access Paper or Ask Questions

Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement

Jan 30, 2019
André Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel Mankowitz, Augustin Žídek, Rémi Munos

* Published at ICML 2018 

  Access Paper or Ask Questions

Universal Successor Features Approximators

Dec 18, 2018
Diana Borsa, André Barreto, John Quan, Daniel Mankowitz, Rémi Munos, Hado van Hasselt, David Silver, Tom Schaul

  Access Paper or Ask Questions

Observational Learning by Reinforcement Learning

Jun 20, 2017
Diana Borsa, Bilal Piot, Rémi Munos, Olivier Pietquin

  Access Paper or Ask Questions

Learning Shared Representations in Multi-task Reinforcement Learning

Mar 07, 2016
Diana Borsa, Thore Graepel, John Shawe-Taylor

  Access Paper or Ask Questions

The Wreath Process: A totally generative model of geometric shape based on nested symmetries

Jun 09, 2015
Diana Borsa, Thore Graepel, Andrew Gordon

* 10 pages(double-column), 60+ figures 

  Access Paper or Ask Questions