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. 2405.02769
  4. Cited By
Linear Convergence of Independent Natural Policy Gradient in Games with
  Entropy Regularization

Linear Convergence of Independent Natural Policy Gradient in Games with Entropy Regularization

4 May 2024
Youbang Sun
Tao-Wen Liu
P. R. Kumar
Shahin Shahrampour
ArXivPDFHTML

Papers citing "Linear Convergence of Independent Natural Policy Gradient in Games with Entropy Regularization"

8 / 8 papers shown
Title
Provable Policy Gradient Methods for Average-Reward Markov Potential
  Games
Provable Policy Gradient Methods for Average-Reward Markov Potential Games
Min Cheng
Ruida Zhou
P. R. Kumar
Chao Tian
87
5
0
09 Mar 2024
Independent Natural Policy Gradient Methods for Potential Games:
  Finite-time Global Convergence with Entropy Regularization
Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization
Shicong Cen
Fan Chen
Yuejie Chi
66
15
0
12 Apr 2022
Building a Foundation for Data-Driven, Interpretable, and Robust Policy
  Design using the AI Economist
Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist
Alexander R. Trott
Sunil Srinivasa
D. V. D. Wal
S. Haneuse
Stephan Zheng
OffRL
55
38
0
06 Aug 2021
Gradient play in stochastic games: stationary points, convergence, and
  sample complexity
Gradient play in stochastic games: stationary points, convergence, and sample complexity
Runyu Zhang
Tongzheng Ren
Na Li
81
44
0
01 Jun 2021
Fast Policy Extragradient Methods for Competitive Games with Entropy
  Regularization
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
Shicong Cen
Yuting Wei
Yuejie Chi
85
78
0
31 May 2021
Independent Policy Gradient Methods for Competitive Reinforcement
  Learning
Independent Policy Gradient Methods for Competitive Reinforcement Learning
C. Daskalakis
Dylan J. Foster
Noah Golowich
214
161
0
11 Jan 2021
Global Optimality Guarantees For Policy Gradient Methods
Global Optimality Guarantees For Policy Gradient Methods
Jalaj Bhandari
Daniel Russo
77
193
0
05 Jun 2019
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz
Shaked Shammah
Amnon Shashua
104
834
0
11 Oct 2016
1