Diana Borsa

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Credit Assignment

Reinforcement Learning

Top Venues

Publications

Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo Ávila Pires, Yunhao Tang, Clare Lyle, Mark Rowland, Nicolas Heess, Diana Borsa, Arthur Guez, Will Dabney
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning. CoRR (2024)
Ted Moskovitz, Samo Hromadka, Ahmed Touati, Diana Borsa, Maneesh Sahani
A State Representation for Diminishing Rewards. NeurIPS (2023)
Ted Moskovitz, Samo Hromadka, Ahmed Touati, Diana Borsa, Maneesh Sahani
A State Representation for Diminishing Rewards. CoRR (2023)
Shantanu Thakoor, Mark Rowland, Diana Borsa, Will Dabney, Rémi Munos, André Barreto
Generalised Policy Improvement with Geometric Policy Composition. ICML (2022)
Shantanu Thakoor, Mark Rowland, Diana Borsa, Will Dabney, Rémi Munos, André Barreto
Generalised Policy Improvement with Geometric Policy Composition. CoRR (2022)
Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal Behbahani, Tom Schaul, André Barreto, Simon Osindero
Model-Value Inconsistency as a Signal for Epistemic Uncertainty. ICML (2022)
Veronica Chelu, Diana Borsa, Doina Precup, Hado van Hasselt
Selective Credit Assignment. CoRR (2022)
Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa
Expected Eligibility Traces. AAAI (2021)
André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan J. Hunt, Shibl Mourad, David Silver, Doina Precup
The Option Keyboard: Combining Skills in Reinforcement Learning. CoRR (2021)
Tom Schaul, Georg Ostrovski, Iurii Kemaev, Diana Borsa
Return-based Scaling: Yet Another Normalisation Trick for Deep RL. CoRR (2021)
Miruna Pislar, David Szepesvari, Georg Ostrovski, Diana Borsa, Tom Schaul
When should agents explore? CoRR (2021)
Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal Behbahani, Tom Schaul, André Barreto, Simon Osindero
Model-Value Inconsistency as a Signal for Epistemic Uncertainty. CoRR (2021)
Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rémi Munos, Will Dabney
Conditional Importance Sampling for Off-Policy Learning. AISTATS (2020)
André Barreto, Shaobo Hou, Diana Borsa, David Silver, Doina Precup
Fast reinforcement learning with generalized policy updates. Proc. Natl. Acad. Sci. USA 117 (48) (2020)
Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa
Expected Eligibility Traces. CoRR (2020)
Diana Borsa, Nicolas Heess, Bilal Piot, Siqi Liu, Leonard Hasenclever, Rémi Munos, Olivier Pietquin
Observational Learning by Reinforcement Learning. AAMAS (2019)
Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rémi Munos, Will Dabney
Conditional Importance Sampling for Off-Policy Learning. CoRR (2019)
Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Rémi Munos, Doina Precup
The Termination Critic. CoRR (2019)
Hado van Hasselt, John Quan, Matteo Hessel, Zhongwen Xu, Diana Borsa, André Barreto
General non-linear Bellman equations. CoRR (2019)
Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Rémi Munos, Doina Precup
The Termination Critic. AISTATS (2019)
André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan J. Hunt, Shibl Mourad, David Silver, Doina Precup
The Option Keyboard: Combining Skills in Reinforcement Learning. NeurIPS (2019)
Tom Schaul, Diana Borsa, David Ding, David Szepesvari, Georg Ostrovski, Will Dabney, Simon Osindero
Adapting Behaviour for Learning Progress. CoRR (2019)
Tom Schaul, Diana Borsa, Joseph Modayil, Razvan Pascanu
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning. CoRR (2019)
André Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel J. Mankowitz, Augustin Zídek, Rémi Munos
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement. CoRR (2019)
Diana Borsa, André Barreto, John Quan, Daniel J. Mankowitz, Hado van Hasselt, Rémi Munos, David Silver, Tom Schaul
Universal Successor Features Approximators. ICLR (Poster) (2019)
Diana Borsa, André Barreto, John Quan, Daniel J. Mankowitz, Rémi Munos, Hado van Hasselt, David Silver, Tom Schaul
Universal Successor Features Approximators. CoRR (2018)
André Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel J. Mankowitz, Augustin Zídek, Rémi Munos
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement. ICML (2018)
Diana Borsa, Bilal Piot, Rémi Munos, Olivier Pietquin
Observational Learning by Reinforcement Learning. CoRR (2017)
Diana Borsa, Thore Graepel, John Shawe-Taylor
Learning Shared Representations in Multi-task Reinforcement Learning. CoRR (2016)
Alex Gaunt, Diana Borsa, Yoram Bachrach
Training Neural Nets to Aggregate Crowdsourced Responses. UAI (2016)
Diana Borsa, Thore Graepel, Andrew D. Gordon
The Wreath Process: A totally generative model of geometric shape based on nested symmetries. CoRR (2015)