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Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections

24 May 2022

Papers citing "Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections"

20 / 20 papers shown

Title
Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium Gabriele Farina A. Celli A. Marchesi N. Gatti 67 34 0 04 Apr 2021
Optimistic and Adaptive Lagrangian Hedging Ryan DÓrazio Ruitong Huang 35 4 0 23 Jan 2021
Hindsight and Sequential Rationality of Correlated Play Dustin Morrill Ryan DÓrazio Reca Sarfati Marc Lanctot James Wright Amy Greenwald Michael Bowling 53 31 0 10 Dec 2020
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent Gabriele Farina Christian Kroer Tuomas Sandholm 109 74 0 28 Jul 2020
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning Eric Steinberger Adam Lerer Noam Brown 106 54 0 18 Jun 2020
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of $f$ -Regression Counterfactual Regret Minimization Ryan DÓrazio Dustin Morrill J. R. Wright Michael Bowling 67 10 0 06 Dec 2019
Combining No-regret and Q-learning Ian A. Kash Michael Sullins Katja Hofmann OffRL 69 17 0 07 Oct 2019
Coarse Correlation in Extensive-Form Games Gabriele Farina Tommaso Bianchi Tuomas Sandholm 46 30 0 26 Aug 2019
OpenSpiel: A Framework for Reinforcement Learning in Games Marc Lanctot Edward Lockhart Jean-Baptiste Lespiau V. Zambaldi Satyaki Upadhyay ... Julian Schrittwieser Thomas W. Anthony Edward Hughes Ivo Danihelka Jonah Ryan-Davis OffRL 103 254 0 26 Aug 2019
Low-Variance and Zero-Variance Baselines for Extensive-Form Games Trevor Davis Martin Schmid Michael Bowling OffRL 54 19 0 22 Jul 2019
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks Gabriele Farina Chun Kai Ling Fei Fang Tuomas Sandholm 48 42 0 29 May 2019
Stable-Predictive Optimistic Counterfactual Regret Minimization Gabriele Farina Christian Kroer Noam Brown Tuomas Sandholm 81 34 0 13 Feb 2019
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster H. F. Song Edward Hughes Neil Burch Iain Dunning Shimon Whiteson M. Botvinick Michael Bowling 65 149 0 04 Nov 2018
Deep Counterfactual Regret Minimization Noam Brown Adam Lerer Sam Gross Tuomas Sandholm 140 215 0 01 Nov 2018
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines Martin Schmid Neil Burch Marc Lanctot Matej Moravcík Rudolf Kadlec Michael Bowling 142 64 0 09 Sep 2018
Fast Convergence of Regularized Learning in Games Vasilis Syrgkanis Alekh Agarwal Haipeng Luo Robert Schapire 78 259 0 02 Jul 2015
Solving Games with Functional Regret Estimation Kevin Waugh Dustin Morrill J. Andrew Bagnell Michael Bowling OffRL 83 58 0 28 Nov 2014
A Unified View of Large-scale Zero-sum Equilibrium Computation Kevin Waugh J. Andrew Bagnell 113 25 0 18 Nov 2014
Optimization, Learning, and Games with Predictable Sequences Alexander Rakhlin Karthik Sridharan 108 380 0 08 Nov 2013
Bayes' Bluff: Opponent Modelling in Poker F. Southey Michael Bowling Bryce Larson Carmelo Piccione Neil Burch Darse Billings D. C. Rayner 173 263 0 04 Jul 2012