Finbarr Timbers
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
3
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AAAI | Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint). | Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White |
| 2022 | IJCAI | Approximate Exploitability: Learning a Best Response. | Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling |
| 2021 | AAAI | Solving Common-Payoff Games with Approximate Policy Iteration. | Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot |
| 2020 | ICML | Fast computation of Nash Equilibria in Imperfect Information Games. | Rmi Munos, Julien Prolat, Jean-Baptiste Lespiau, Mark Rowland, Bart De Vylder, Marc Lanctot, Finbarr Timbers, Daniel Hennes, Shayegan Omidshafiei, Audrunas Gruslys, Mohammad Gheshlaghi Azar, Edward Lockhart, Karl Tuyls |
| 2019 | IJCAI | Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent. | Edward Lockhart, Marc Lanctot, Julien Prolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls |