Julien Prolat
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
7
Active years
2015–2022
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | AAAI | Generalization in Mean Field Games by Learning Master Policies. | Sarah Perrin, Mathieu Laurire, Julien Prolat, Romuald lie, Matthieu Geist, Olivier Pietquin |
| 2022 | ICML | Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. | Mathieu Laurire, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Prolat, Romuald Elie, Olivier Pietquin, Matthieu Geist |
| 2021 | ICML | From Poincar Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. | Julien Prolat, Rmi Munos, Jean-Baptiste Lespiau, Shayegan Omidshafiei, Mark Rowland, Pedro A. Ortega, Neil Burch, Thomas W. Anthony, David Balduzzi, Bart De Vylder, Georgios Piliouras, Marc Lanctot, Karl Tuyls |
| 2021 | IJCAI | Mean Field Games Flock! The Reinforcement Learning Way. | Sarah Perrin, Mathieu Laurire, Julien Prolat, Matthieu Geist, Romuald lie, Olivier Pietquin |
| 2020 | AAAI | On the Convergence of Model Free Learning in Mean Field Games. | Romuald Elie, Julien Prolat, Mathieu Laurire, Matthieu Geist, Olivier Pietquin |
| 2020 | ACML | Foolproof Cooperative Learning. | Alexis Jacq, Julien Prolat, Matthieu Geist, Olivier Pietquin |
| 2020 | ICLR | A Generalized Training Approach for Multiagent Learning. | Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Prolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Rmi Munos |
| 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 | ICML | Open-ended learning in symmetric zero-sum games. | David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech Czarnecki, Julien Prolat, Max Jaderberg, Thore Graepel |
| 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 |
| 2018 | AISTATS | Actor-Critic Fictitious Play in Simultaneous Move Multistage Games. | Julien Prolat, Bilal Piot, Olivier Pietquin |
| 2017 | AISTATS | Learning Nash Equilibrium for General-Sum Markov Games from Batch Data. | Julien Prolat, Florian Strub, Bilal Piot, Olivier Pietquin |
| 2016 | AISTATS | On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games. | Julien Prolat, Bilal Piot, Bruno Scherrer, Olivier Pietquin |
| 2016 | ICML | Softened Approximate Policy Iteration for Markov Games. | Julien Prolat, Bilal Piot, Matthieu Geist, Bruno Scherrer, Olivier Pietquin |
| 2015 | ICML | Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games. | Julien Prolat, Bruno Scherrer, Bilal Piot, Olivier Pietquin |
| 2015 | SIGdial | Human-Machine Dialogue as a Stochastic Game. | Merwan Barlier, Julien Prolat, Romain Laroche, Olivier Pietquin |