John Quan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
4
Active years
2011–2021
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | AAAI | The Value-Improvement Path: Towards Better Representations for Reinforcement Learning. | Will Dabney, Andr Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David Silver |
| 2019 | ICLR | Universal Successor Features Approximators. | Diana Borsa, Andr Barreto, John Quan, Daniel J. Mankowitz, Hado van Hasselt, Rmi Munos, David Silver, Tom Schaul |
| 2019 | ICLR | Recurrent Experience Replay in Distributed Reinforcement Learning. | Steven Kapturowski, Georg Ostrovski, John Quan, Rmi Munos, Will Dabney |
| 2018 | AAAI | Deep Q-learning From Demonstrations. | Todd Hester, Matej Vecerk, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John P. Agapiou, Joel Z. Leibo, Audrunas Gruslys |
| 2018 | ICLR | Distributed Prioritized Experience Replay. | Dan Horgan, John Quan, David Budden, Gabriel Barth-Maron, Matteo Hessel, Hado van Hasselt, David Silver |
| 2018 | ICML | Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement. | Andr Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel J. Mankowitz, Augustin Zdek, Rmi Munos |
| 2011 | HCI | Attribute Description Service for Large-Scale Networks. | Donald Kline, John Quan |