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Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication
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Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication

E. Pesce
Giovanni Montana
ArXiv (abs)PDFHTML

Papers citing "Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication"

11 / 11 papers shown
Title
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
Giovanni Minelli
Mirco Musolesi
58
0
0
21 Aug 2023
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization
Dianbo Liu
Alex Lamb
Xu Ji
Pascal Junior Tikeng Notsawo
Michael C. Mozer
Yoshua Bengio
Kenji Kawaguchi
63
16
0
02 Feb 2022
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning
Qi Tian
Kun Kuang
Baoxiang Wang
Furui Liu
Leilei Gan
41
0
0
20 Dec 2021
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning
D. Mguni
Taher Jafferjee
Jianhong Wang
Oliver Slumbers
Nicolas Perez Nieves
Feifei Tong
Yang Li
Jiangcheng Zhu
Yaodong Yang
Jun Wang
107
18
0
05 Dec 2021
The Power of Communication in a Distributed Multi-Agent System
The Power of Communication in a Distributed Multi-Agent System
P. D. Siedler
51
3
0
30 Nov 2021
Collaborative Visual Navigation
Collaborative Visual Navigation
Haiyang Wang
Wenguan Wang
Xizhou Zhu
Jifeng Dai
Liwei Wang
EgoV
100
20
0
02 Jul 2021
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint
Guangzhen Hu
Yuanheng Zhu
Dongbin Zhao
Mengchen Zhao
Jianye Hao
46
17
0
10 Oct 2020
Reinforcement Communication Learning in Different Social Network Structures
Reinforcement Communication Learning in Different Social Network Structures
M. Dubova
A. Moskvichev
Robert L. Goldstone
GNN
71
9
0
19 Jul 2020
A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning
A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning
Woojun Kim
Whiyoung Jung
Myungsik Cho
Y. Sung
50
13
0
04 Jun 2020
Bi-level Actor-Critic for Multi-agent Coordination
Bi-level Actor-Critic for Multi-agent Coordination
Haifeng Zhang
Weizhe Chen
Zeren Huang
Minne Li
Yaodong Yang
Weinan Zhang
Jun Wang
181
93
0
08 Sep 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
119
568
0
12 Oct 2018

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