Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural
Equilibrium Solvers

Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers

17 October 2022

Thomas W. Anthony

Andrea Tacchetti

Papers citing "Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers"

16 / 16 papers shown

Title
Large-Scale Contextual Market Equilibrium Computation through Deep Learning Yunxuan Ma Yide Bian Hao Xu Weitao Yang Jingshu Zhao Zhijian Duan Feng Wang Xiaotie Deng 58 0 0 11 Jun 2024
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games Siqi Liu Marc Lanctot Luke Marris N. Heess MLT 324 12 0 31 May 2022
NeuPL: Neural Population Learning Siqi Liu Luke Marris Daniel Hennes J. Merel N. Heess T. Graepel 56 17 0 15 Feb 2022
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL Chi Jin Qinghua Liu Yuanhao Wang Tiancheng Yu OffRL 45 131 0 27 Oct 2021
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers Luke Marris Paul Muller Marc Lanctot K. Tuyls T. Graepel 57 36 0 17 Jun 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 126 231 0 23 Mar 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 254 514 0 11 Feb 2021
Near-Optimal Reinforcement Learning with Self-Play Yunru Bai Chi Jin Tiancheng Yu 121 131 0 22 Jun 2020
The general theory of permutation equivarant neural networks and higher order graph variational encoders Erik H. Thiede Truong-Son Hy Risi Kondor 42 35 0 08 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 282 42,038 0 03 Dec 2019
What game are we playing? End-to-end learning in normal and extensive form games Chun Kai Ling Fei Fang J. Zico Kolter 68 84 0 07 May 2018
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning Marc Lanctot V. Zambaldi A. Gruslys Angeliki Lazaridou K. Tuyls Julien Perolat David Silver T. Graepel 82 628 0 02 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 490 129,831 0 12 Jun 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 354 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 907 149,474 0 22 Dec 2014