Timezone: »
Prescriptive solutions in games: from theory to scale
Julien Perolat
This presentation will first motivate games as a benchmark for studying environments with complex feedback. Then it will shortly review the main game theory solution concepts that can be used as an objective to learn in games. Finally, the presentation will highlight a few recent algorithmic advances and results in 2 classes of games (imperfect information games and mean field games).
Author Information
Julien Perolat (DeepMind)
More from the Same Authors
-
2022 Poster: Scalable Deep Reinforcement Learning Algorithms for Mean Field Games »
Mathieu Lauriere · Sarah Perrin · Sertan Girgin · Paul Muller · Ayush Jain · Theophile Cabannes · Georgios Piliouras · Julien Perolat · Romuald Elie · Olivier Pietquin · Matthieu Geist -
2022 Spotlight: Scalable Deep Reinforcement Learning Algorithms for Mean Field Games »
Mathieu Lauriere · Sarah Perrin · Sertan Girgin · Paul Muller · Ayush Jain · Theophile Cabannes · Georgios Piliouras · Julien Perolat · Romuald Elie · Olivier Pietquin · Matthieu Geist -
2021 Poster: From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization »
Julien Perolat · Remi Munos · Jean-Baptiste Lespiau · Shayegan Omidshafiei · Mark Rowland · Pedro Ortega · Neil Burch · Thomas Anthony · David Balduzzi · Bart De Vylder · Georgios Piliouras · Marc Lanctot · Karl Tuyls -
2021 Spotlight: From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization »
Julien Perolat · Remi Munos · Jean-Baptiste Lespiau · Shayegan Omidshafiei · Mark Rowland · Pedro Ortega · Neil Burch · Thomas Anthony · David Balduzzi · Bart De Vylder · Georgios Piliouras · Marc Lanctot · Karl Tuyls -
2020 Poster: Fast computation of Nash Equilibria in Imperfect Information Games »
Remi Munos · Julien Perolat · 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 Poster: Open-ended learning in symmetric zero-sum games »
David Balduzzi · Marta Garnelo · Yoram Bachrach · Wojciech Czarnecki · Julien Perolat · Max Jaderberg · Thore Graepel -
2019 Oral: Open-ended learning in symmetric zero-sum games »
David Balduzzi · Marta Garnelo · Yoram Bachrach · Wojciech Czarnecki · Julien Perolat · Max Jaderberg · Thore Graepel