ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1903.09376
  4. Cited By
Deep Fictitious Play for Stochastic Differential Games

Deep Fictitious Play for Stochastic Differential Games

22 March 2019
Ruimeng Hu
ArXivPDFHTML

Papers citing "Deep Fictitious Play for Stochastic Differential Games"

16 / 16 papers shown
Title
Stochastic Delay Differential Games: Financial Modeling and Machine
  Learning Algorithms
Stochastic Delay Differential Games: Financial Modeling and Machine Learning Algorithms
R. Balkin
Héctor D. Ceniceros
Ruimeng Hu
11
2
0
12 Jul 2023
Convergence of the Backward Deep BSDE Method with Applications to
  Optimal Stopping Problems
Convergence of the Backward Deep BSDE Method with Applications to Optimal Stopping Problems
Chengfan Gao
Siping Gao
Ruimeng Hu
Zimu Zhu
23
14
0
08 Oct 2022
Deep Learning for Systemic Risk Measures
Deep Learning for Systemic Risk Measures
Yichen Feng
Ming Min
J. Fouque
18
6
0
02 Jul 2022
Learning High-Dimensional McKean-Vlasov Forward-Backward Stochastic
  Differential Equations with General Distribution Dependence
Learning High-Dimensional McKean-Vlasov Forward-Backward Stochastic Differential Equations with General Distribution Dependence
Jiequn Han
Ruimeng Hu
Jihao Long
AI4CE
OOD
13
20
0
25 Apr 2022
Linear convergence of a policy gradient method for some finite horizon
  continuous time control problems
Linear convergence of a policy gradient method for some finite horizon continuous time control problems
C. Reisinger
Wolfgang Stockinger
Yufei Zhang
16
5
0
22 Mar 2022
DeepHAM: A Global Solution Method for Heterogeneous Agent Models with
  Aggregate Shocks
DeepHAM: A Global Solution Method for Heterogeneous Agent Models with Aggregate Shocks
Jiequn Han
Yucheng Yang
Weinan E
14
21
0
29 Dec 2021
Reinforcement Learning with Dynamic Convex Risk Measures
Reinforcement Learning with Dynamic Convex Risk Measures
Anthony Coache
S. Jaimungal
13
27
0
26 Dec 2021
Signatured Deep Fictitious Play for Mean Field Games with Common Noise
Signatured Deep Fictitious Play for Mean Field Games with Common Noise
Ming Min
Ruimeng Hu
27
27
0
06 Jun 2021
A Class of Dimension-free Metrics for the Convergence of Empirical
  Measures
A Class of Dimension-free Metrics for the Convergence of Empirical Measures
Jiequn Han
Ruimeng Hu
Jihao Long
21
3
0
24 Apr 2021
Recurrent Neural Networks for Stochastic Control Problems with Delay
Recurrent Neural Networks for Stochastic Control Problems with Delay
Jiequn Han
Ruimeng Hu
11
18
0
05 Jan 2021
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep
  Learning Algorithm
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
11
9
0
12 Dec 2020
Large-Scale Multi-Agent Deep FBSDEs
Large-Scale Multi-Agent Deep FBSDEs
T. Chen
Ziyi Wang
Ioannis Exarchos
Evangelos A. Theodorou
16
4
0
21 Nov 2020
Convergence of Deep Fictitious Play for Stochastic Differential Games
Convergence of Deep Fictitious Play for Stochastic Differential Games
Jiequn Han
Ruimeng Hu
Jihao Long
11
19
0
12 Aug 2020
Deep Fictitious Play for Finding Markovian Nash Equilibrium in
  Multi-Agent Games
Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games
Jiequn Han
Ruimeng Hu
17
43
0
04 Dec 2019
On the Convergence of Model Free Learning in Mean Field Games
On the Convergence of Model Free Learning in Mean Field Games
Romuald Elie
Julien Pérolat
Mathieu Laurière
M. Geist
Olivier Pietquin
17
89
0
04 Jul 2019
Deep Q-Learning for Nash Equilibria: Nash-DQN
Deep Q-Learning for Nash Equilibria: Nash-DQN
P. Casgrain
Brian Ning
S. Jaimungal
13
32
0
23 Apr 2019
1