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What game are we playing? End-to-end learning in normal and extensive form games

7 May 2018

Chun Kai Ling

Fei Fang

J. Zico Kolter

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Papers citing "What game are we playing? End-to-end learning in normal and extensive form games"

27 / 27 papers shown

Title
Differentiation of Multi-objective Data-driven Decision Pipeline Peng Li Lixia Wu Chaoqun Feng Haoyuan Hu Lei Fu Jieping Ye 119 1 0 02 Jun 2024
How Bad is Top- $K$ Recommendation under Competing Content Creators? Fan Yao Chuanhao Li Denis Nekipelov Hongning Wang Haifeng Xu 97 27 0 03 Feb 2023
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers Luke Marris I. Gemp Thomas W. Anthony Andrea Tacchetti Siqi Liu K. Tuyls 79 15 0 17 Oct 2022
From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from Data on Repeated Interactions Gali Noti 42 6 0 30 Dec 2021
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems Tianyu Zhao Xiang Pan Minghua Chen S. Low 84 10 0 15 Dec 2021
Modeling Strong and Human-Like Gameplay with KL-Regularized Search Athul Paul Jacob David J. Wu Gabriele Farina Adam Lerer Hengyuan Hu A. Bakhtin Jacob Andreas Noam Brown 60 54 0 14 Dec 2021
Is Nash Equilibrium Approximator Learnable? Zhijian Duan Wenhan Huang Dinghuai Zhang Yali Du Jun Wang Yaodong Yang Xiaotie Deng 76 6 0 17 Aug 2021
Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP Jayanta Mandi Rocsildes Canoy Víctor Bucarey Tias Guns 69 7 0 10 Aug 2021
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization Bingqing Chen Neural Network Kyri Baker J. Zico Kolter Mario Berges 88 61 0 19 May 2021
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints Anselm Paulus Michal Rolínek Vít Musil Brandon Amos Georg Martius 82 62 0 05 May 2021
DC3: A learning method for optimization with hard constraints P. Donti David Rolnick J. Zico Kolter AI4CE 89 196 0 25 Apr 2021
Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games Gabriele Farina Tuomas Sandholm OffRL 83 18 0 08 Mar 2021
Interior Point Solving for LP-based prediction+optimisation Jayanta Mandi Tias Guns 58 106 0 26 Oct 2020
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers Philipp Geiger C. Straehle AI4CE 100 26 0 17 Aug 2020
Monotone operator equilibrium networks Ezra Winston J. Zico Kolter 86 130 0 15 Jun 2020
Learning Convex Optimization Models Akshay Agrawal Shane T. Barratt Stephen P. Boyd 70 42 0 07 Jun 2020
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces A. Marchesi F. Trovò N. Gatti 50 18 0 18 Nov 2019
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 102 666 0 28 Oct 2019
MIPaaL: Mixed Integer Program as a Layer Aaron Ferber Bryan Wilder B. Dilkina Milind Tambe 105 147 0 12 Jul 2019
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver Po-Wei Wang P. Donti Bryan Wilder Zico Kolter LRM NAI 88 265 0 29 May 2019
Least Squares Auto-Tuning Shane T. Barratt Stephen P. Boyd MoMe 82 23 0 10 Apr 2019
End-to-End Game-Focused Learning of Adversary Behavior in Security Games Andrew Perrault Bryan Wilder Eric Ewing Aditya Mate B. Dilkina Milind Tambe AAML 408 10 0 03 Mar 2019
Regret Circuits: Composability of Regret Minimizers Krishna Kumar Singh Aron Sarmasi Tuomas Sandholm 56 3 0 06 Nov 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 119 569 0 12 Oct 2018
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games Gabriele Farina Christian Kroer Tuomas Sandholm 106 59 0 10 Sep 2018
Coordinating users of shared facilities via data-driven predictive assistants and game theory Philipp Geiger M. Besserve Justus Winkelmann Claudius Proissl Bernhard Schölkopf 8 0 0 16 Mar 2018
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 264 913 0 06 Jan 2017