Anthony, Thomas

8 publications

TMLR 2023 Population-Based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning Marc Lanctot, John Schultz, Neil Burch, Max Olan Smith, Daniel Hennes, Thomas Anthony, Julien Perolat

JMLR 2023 Strategic Knowledge Transfer Max Olan Smith, Thomas Anthony, Michael P. Wellman

NeurIPS 2022 Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers Luke Marris, Ian Gemp, Thomas Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls

ICML 2021 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

ICLR 2021 Iterative Empirical Game Solving via Single Policy Best Response Max Smith, Thomas Anthony, Michael Wellman

ICLR 2021 On the Role of Planning in Model-Based Deep Reinforcement Learning Jessica B Hamrick, Abram L. Friesen, Feryal Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Holger Buesing, Petar Veličković, Theophane Weber

NeurIPS 2020 Learning to Play No-Press Diplomacy with Best Response Policy Iteration Thomas Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian Gemp, Thomas Hudson, Nicolas Porcel, Marc Lanctot, Julien Perolat, Richard Everett, Satinder P. Singh, Thore Graepel, Yoram Bachrach

NeurIPS 2017 Thinking Fast and Slow with Deep Learning and Tree Search Thomas Anthony, Zheng Tian, David Barber