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. 2105.08268
  4. Cited By
Permutation Invariant Policy Optimization for Mean-Field Multi-Agent
  Reinforcement Learning: A Principled Approach

Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach

18 May 2021
Yan Li
Lingxiao Wang
Jiachen Yang
Ethan Wang
Zhaoran Wang
T. Zhao
H. Zha
ArXivPDFHTML

Papers citing "Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach"

2 / 2 papers shown
Title
Relational Reasoning via Set Transformers: Provable Efficiency and
  Applications to MARL
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
Fengzhuo Zhang
Boyi Liu
Kaixin Wang
Vincent Y. F. Tan
Zhuoran Yang
Zhaoran Wang
OffRL
LRM
49
10
0
20 Sep 2022
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement
  Learning
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning
Yuanquan Hu
Xiaoli Wei
Jun Yan
Heng-Wei Zhang
29
8
0
11 Sep 2022
1