Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games

4 December 2019

Papers citing "Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games"

10 / 10 papers shown

Title
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series Byoungwoo Park Hyungi Lee Juho Lee AI4TS 51 0 0 08 Oct 2024
Stochastic Optimal Control Matching Carles Domingo-Enrich Jiequn Han Brandon Amos Joan Bruna Ricky T. Q. Chen DiffM 20 7 0 04 Dec 2023
Stochastic Delay Differential Games: Financial Modeling and Machine Learning Algorithms R. Balkin Héctor D. Ceniceros Ruimeng Hu 26 2 0 12 Jul 2023
Deep Learning for Principal-Agent Mean Field Games S. Campbell Yichao Chen Arvind Shrivats S. Jaimungal 29 16 0 03 Oct 2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning Zijian Gao Kele Xu Bo Ding Huaimin Wang Yiying Li Hongda Jia 50 15 0 27 Mar 2021
An overview on deep learning-based approximation methods for partial differential equations C. Beck Martin Hutzenthaler Arnulf Jentzen Benno Kuckuck 35 146 0 22 Dec 2020
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm Yao Xuan R. Balkin Jiequn Han Ruimeng Hu Héctor D. Ceniceros 32 9 0 12 Dec 2020
Large-Scale Multi-Agent Deep FBSDEs T. Chen Ziyi Wang Ioannis Exarchos Evangelos A. Theodorou 37 4 0 21 Nov 2020
Convergence of Deep Fictitious Play for Stochastic Differential Games Jiequn Han Ruimeng Hu Jihao Long 29 19 0 12 Aug 2020
Deep Fictitious Play for Stochastic Differential Games Ruimeng Hu 32 29 0 22 Mar 2019