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An Introduction to Centralized Training for Decentralized Execution in
  Cooperative Multi-Agent Reinforcement Learning

An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning

4 September 2024
Christopher Amato
    OffRL
ArXivPDFHTML

Papers citing "An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning"

4 / 4 papers shown
Title
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning
Beining Zhang
Aditya Kapoor
Mingfei Sun
52
0
0
08 Feb 2025
Graph Neural Networks over the Air for Decentralized Tasks in Wireless
  Networks
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks
Zhan Gao
Deniz Gunduz
GNN
30
1
0
16 Feb 2023
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
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
109
595
0
28 Feb 2017
1