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. 2104.06655
  4. Cited By
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent
  Reinforcement Learning

Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning

14 April 2021
Yuan Pu
Shaochen Wang
Rui Yang
Xin Yao
Bin Li
ArXivPDFHTML

Papers citing "Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning"

8 / 8 papers shown
Title
Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach
Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach
Yue Chen
Hui Kang
Jiahui Li
Geng Su
Boxiong Wang
Jiacheng Wang
Cong Liang
Shuang Liang
Dusit Niyato
49
0
0
06 May 2025
Coordination Failure in Cooperative Offline MARL
Coordination Failure in Cooperative Offline MARL
C. Tilbury
Claude Formanek
Louise Beyers
Jonathan P. Shock
Arnu Pretorius
OffRL
38
1
0
01 Jul 2024
Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage
  Control
Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control
Yang Qu
Jinming Ma
Feng Wu
28
3
0
14 May 2024
An adaptive safety layer with hard constraints for safe reinforcement
  learning in multi-energy management systems
An adaptive safety layer with hard constraints for safe reinforcement learning in multi-energy management systems
Glenn Ceusters
M. A. Putratama
R. Franke
Ann Nowé
M. Messagie
31
4
0
18 Apr 2023
Safe reinforcement learning for multi-energy management systems with
  known constraint functions
Safe reinforcement learning for multi-energy management systems with known constraint functions
Glenn Ceusters
L. R. Camargo
R. Franke
Ann Nowé
M. Messagie
11
16
0
08 Jul 2022
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks
  and Environmental Factors without Precise Reward Functions
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Mingyu Kim
Ji-Yun Oh
Yongsik Lee
Joonkee Kim
S. Kim
Song Chong
Se-Young Yun
18
2
0
05 Jul 2022
Value Functions Factorization with Latent State Information Sharing in
  Decentralized Multi-Agent Policy Gradients
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients
Hanhan Zhou
Tian-Shing Lan
Vaneet Aggarwal
29
31
0
04 Jan 2022
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip H. S. Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
117
595
0
28 Feb 2017
1