Diana Borsa - RankMe

35 papers A* 6A 4Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Optimizing Return Distributions with Distributional Dynamic Programming. CoRR Bernardo Ávila Pires, Mark Rowland, Diana Borsa, Zhaohan Daniel Guo, Khimya Khetarpal, André Barreto, David Abel, Rémi Munos, Will Dabney
2025	J	`jnl`	Optimizing Return Distributions with Distributional Dynamic Programming. J. Mach. Learn. Res. Bernardo Ávila Pires, Mark Rowland, Diana Borsa, Zhaohan Daniel Guo, Khimya Khetarpal, André Barreto, David Abel, Rémi Munos, Will Dabney
2025	J	`jnl`	Wasserstein Policy Optimization. CoRR David Pfau, Ian Davies, Diana Borsa, João G. M. Araújo, Brendan D. Tracey, Hado van Hasselt
2024	J	`jnl`	A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning. CoRR Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo Ávila Pires, Yunhao Tang, Clare Lyle, Mark Rowland, Nicolas Heess, Diana Borsa, Arthur Guez, Will Dabney
2023	A*	`conf`	A State Representation for Diminishing Rewards. NeurIPS Ted Moskovitz, Samo Hromadka, Ahmed Touati, Diana Borsa, Maneesh Sahani
2023	J	`jnl`	A State Representation for Diminishing Rewards. CoRR Ted Moskovitz, Samo Hromadka, Ahmed Touati, Diana Borsa, Maneesh Sahani
2022	A*	`conf`	Generalised Policy Improvement with Geometric Policy Composition. ICML Shantanu Thakoor, Mark Rowland, Diana Borsa, Will Dabney, Rémi Munos, André Barreto
2022	J	`jnl`	Generalised Policy Improvement with Geometric Policy Composition. CoRR Shantanu Thakoor, Mark Rowland, Diana Borsa, Will Dabney, Rémi Munos, André Barreto
2022	A*	`conf`	Model-Value Inconsistency as a Signal for Epistemic Uncertainty. ICML Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, André Barreto, Simon Osindero
2022	J	`jnl`	Selective Credit Assignment. CoRR Veronica Chelu, Diana Borsa, Doina Precup, Hado van Hasselt
2021	A*	`conf`	Expected Eligibility Traces. AAAI Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa
2021	J	`jnl`	Model-Value Inconsistency as a Signal for Epistemic Uncertainty. CoRR Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, André Barreto, Simon Osindero
2021	J	`jnl`	Return-based Scaling: Yet Another Normalisation Trick for Deep RL. CoRR Tom Schaul, Georg Ostrovski, Iurii Kemaev, Diana Borsa
2021	J	`jnl`	The Option Keyboard: Combining Skills in Reinforcement Learning. CoRR André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan J. Hunt, Shibl Mourad, David Silver, Doina Precup
2021	J	`jnl`	When should agents explore? CoRR Miruna Pislar, David Szepesvari, Georg Ostrovski, Diana Borsa, Tom Schaul
2020	A	`conf`	Conditional Importance Sampling for Off-Policy Learning. AISTATS Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rémi Munos, Will Dabney
2020	J	`jnl`	Expected Eligibility Traces. CoRR Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa
2020	J	`jnl`	Fast reinforcement learning with generalized policy updates. Proc. Natl. Acad. Sci. USA André Barreto, Shaobo Hou, Diana Borsa, David Silver, Doina Precup
2020	—	`—`	Reinforcement learning in persistent environments: representation learning and transfer. Diana Borsa
2019	J	`jnl`	Adapting Behaviour for Learning Progress. CoRR Tom Schaul, Diana Borsa, David Ding, David Szepesvari, Georg Ostrovski, Will Dabney, Simon Osindero
2019	J	`jnl`	Conditional Importance Sampling for Off-Policy Learning. CoRR Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rémi Munos, Will Dabney
2019	J	`jnl`	General non-linear Bellman equations. CoRR Hado van Hasselt, John Quan, Matteo Hessel, Zhongwen Xu, Diana Borsa, André Barreto
2019	A	`conf`	Observational Learning by Reinforcement Learning. AAMAS Diana Borsa, Nicolas Heess, Bilal Piot, Siqi Liu, Leonard Hasenclever, Rémi Munos, Olivier Pietquin
2019	J	`jnl`	Ray Interference: a Source of Plateaus in Deep Reinforcement Learning. CoRR Tom Schaul, Diana Borsa, Joseph Modayil, Razvan Pascanu
2019	A*	`conf`	The Option Keyboard: Combining Skills in Reinforcement Learning. NeurIPS André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan J. Hunt, Shibl Mourad, David Silver, Doina Precup
2019	A	`conf`	The Termination Critic. AISTATS Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Rémi Munos, Doina Precup
2019	J	`jnl`	The Termination Critic. CoRR Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Rémi Munos, Doina Precup
2019	J	`jnl`	Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement. CoRR André Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel J. Mankowitz, Augustin Zídek, Rémi Munos
2019	—	`conf`	Universal Successor Features Approximators. ICLR (Poster) Diana Borsa, André Barreto, John Quan, Daniel J. Mankowitz, Hado van Hasselt, Rémi Munos, David Silver, Tom Schaul
2018	A*	`conf`	Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement. ICML André Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel J. Mankowitz, Augustin Zídek, Rémi Munos
2018	J	`jnl`	Universal Successor Features Approximators. CoRR Diana Borsa, André Barreto, John Quan, Daniel J. Mankowitz, Rémi Munos, Hado van Hasselt, David Silver, Tom Schaul
2017	J	`jnl`	Observational Learning by Reinforcement Learning. CoRR Diana Borsa, Bilal Piot, Rémi Munos, Olivier Pietquin
2016	J	`jnl`	Learning Shared Representations in Multi-task Reinforcement Learning. CoRR Diana Borsa, Thore Graepel, John Shawe-Taylor
2016	A	`conf`	Training Neural Nets to Aggregate Crowdsourced Responses. UAI Alex Gaunt, Diana Borsa, Yoram Bachrach
2015	J	`jnl`	The Wreath Process: A totally generative model of geometric shape based on nested symmetries. CoRR Diana Borsa, Thore Graepel, Andrew D. Gordon