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. 2004.11145
  4. Cited By
F2A2: Flexible Fully-decentralized Approximate Actor-critic for
  Cooperative Multi-agent Reinforcement Learning

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning

17 April 2020
Wenhao Li
Bo Jin
Xiangfeng Wang
Junchi Yan
H. Zha
ArXivPDFHTML

Papers citing "F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning"

4 / 4 papers shown
Title
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
Shahbaz P Qadri Syed
He Bai
41
0
0
29 Apr 2025
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent
  Reinforcement Learning
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
Kefan Su
Siyuan Zhou
Jiechuan Jiang
Chuang Gan
Xiangjun Wang
Zongqing Lu
OffRL
28
6
0
17 Sep 2022
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using
  Reward Machines
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines
Jueming Hu
Zhe Xu
Weichang Wang
Guannan Qu
Yutian Pang
Yongming Liu
42
12
0
30 Sep 2021
Agreeing to Cross: How Drivers and Pedestrians Communicate
Agreeing to Cross: How Drivers and Pedestrians Communicate
Amir Rasouli
Iuliia Kotseruba
John K. Tsotsos
3DV
53
198
0
12 Feb 2017
1