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Hindsight and Sequential Rationality of Correlated Play

AAAI Conference on Artificial Intelligence (AAAI), 2020

10 December 2020

Papers citing "Hindsight and Sequential Rationality of Correlated Play"

20 / 20 papers shown

Title
Rethinking the Foundations for Continual Reinforcement Learning Esraa Elelimy David Szepesvari Martha White Michael Bowling OffRL LRM CLL 332 6 0 10 Apr 2025
Expected Variational Inequalities B. Zhang Ioannis Anagnostides Emanuel Tewolde Ratip Emin Berker Gabriele Farina Vincent Conitzer Tuomas Sandholm 903 2 0 25 Feb 2025
Efficient Learning and Computation of Linear Correlated Equilibrium in General Convex GamesSymposium on the Theory of Computing (STOC), 2024 Constantinos Daskalakis Gabriele Farina Maxwell Fishelson Charilaos Pipis Jon Schneider 148 8 0 31 Dec 2024
Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning G. dÉon N. Newman Kevin Leyton-Brown 147 0 0 29 Feb 2024
Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization Luca DÁmico-Wong Hugh Zhang Marc Lanctot David C. Parkes OffRL 92 0 0 19 Feb 2024
Guarantees for Self-Play in Multiplayer Games via Polymatrix DecomposabilityNeural Information Processing Systems (NeurIPS), 2023 Revan MacQueen James R. Wright 208 2 0 17 Oct 2023
Learning not to RegretAAAI Conference on Artificial Intelligence (AAAI), 2023 David Sychrovský Michal Sustr Elnaz Davoodi Michael Bowling Marc Lanctot Martin Schmid 198 4 0 02 Mar 2023
Sequential Information Design: Learning to Persuade in the DarkNeural Information Processing Systems (NeurIPS), 2022 Martino Bernasconi Matteo Castiglioni A. Marchesi N. Gatti F. Trovò 157 16 0 08 Sep 2022
Learning Correlated Equilibria in Mean-Field Games Paul Muller Romuald Elie Mark Rowland Mathieu Lauriere Julien Perolat Sarah Perrin Matthieu Geist Georgios Piliouras Olivier Pietquin K. Tuyls 187 9 0 22 Aug 2022
Near-Optimal $Φ$ -Regret Learning in Extensive-Form GamesInternational Conference on Machine Learning (ICML), 2022 Ioannis Anagnostides Gabriele Farina Tuomas Sandholm 191 7 0 20 Aug 2022
Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration Dustin Morrill Esraá Saleh Michael Bowling Amy Greenwald 96 0 0 04 Jun 2022
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: CorrectionsInternational Conference on Machine Learning (ICML), 2021 Dustin Morrill Ryan DÓrazio Marc Lanctot J. R. Wright Michael Bowling Amy Greenwald 210 23 0 24 May 2022
Learning Robust Real-Time Cultural Transmission without Human Data Cultural General Intelligence Team Avishkar Bhoopchand Bethanie Brownfield Adrian Collister Agustin Dal Lago ... Alex Platonov Evan Senter Sukhdeep Singh Alexander Zacherl Lei M. Zhang VLM 222 12 0 01 Mar 2022
Near-Optimal Learning of Extensive-Form Games with Imperfect InformationInternational Conference on Machine Learning (ICML), 2022 Yunru Bai Chi Jin Song Mei Tiancheng Yu 282 30 0 03 Feb 2022
The Partially Observable History Process Dustin Morrill Amy Greenwald Michael Bowling AI4CE 257 2 0 15 Nov 2021
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael Bowling 286 2 0 29 Oct 2021
Evolutionary Dynamics and $Φ$ -Regret Minimization in Games Georgios Piliouras Mark Rowland Shayegan Omidshafiei Romuald Elie Daniel Hennes Jerome T. Connor K. Tuyls 154 2 0 28 Jun 2021
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-SolversInternational Conference on Machine Learning (ICML), 2021 Luke Marris Paul Muller Marc Lanctot K. Tuyls T. Graepel 267 40 0 17 Jun 2021
Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated EquilibriumJournal of the ACM (JACM), 2021 Gabriele Farina A. Celli A. Marchesi N. Gatti 184 35 0 04 Apr 2021
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker Matej Moravcík Martin Schmid Neil Burch Viliam Lisý Dustin Morrill Nolan Bard Trevor Davis Kevin Waugh Michael Bradley Johanson Michael Bowling BDL 500 957 0 06 Jan 2017