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. 2008.06845
  4. Cited By
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field
  Control/Game in Continuous Time

Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time

16 August 2020
Weichen Wang
Jiequn Han
Zhuoran Yang
Zhaoran Wang
ArXivPDFHTML

Papers citing "Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time"

7 / 7 papers shown
Title
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee
Mo Zhou
Jian-Xiong Lu
38
7
0
11 Feb 2023
Towards a Theoretical Foundation of Policy Optimization for Learning
  Control Policies
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies
Bin Hu
Kaipeng Zhang
Na Li
M. Mesbahi
Maryam Fazel
Tamer Bacsar
87
27
0
10 Oct 2022
Policy Gradient and Actor-Critic Learning in Continuous Time and Space:
  Theory and Algorithms
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms
Yanwei Jia
X. Zhou
OffRL
34
79
0
22 Nov 2021
Neural PPO-Clip Attains Global Optimality: A Hinge Loss Perspective
Neural PPO-Clip Attains Global Optimality: A Hinge Loss Perspective
Nai-Chieh Huang
Ping-Chun Hsieh
Kuo-Hao Ho
Hsuan-Yu Yao
Kai-Chun Hu
Liang-Chun Ouyang
I-Chen Wu
32
1
0
26 Oct 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
Barna Pásztor
Ilija Bogunovic
Andreas Krause
28
41
0
08 Jul 2021
Policy Mirror Descent for Regularized Reinforcement Learning: A
  Generalized Framework with Linear Convergence
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence
Wenhao Zhan
Shicong Cen
Baihe Huang
Yuxin Chen
Jason D. Lee
Yuejie Chi
21
76
0
24 May 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark Schmidt
139
1,204
0
16 Aug 2016
1