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A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based
  Policy Learning

A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning

11 October 2022
Arrasy Rahman
Ignacio Carlucho
Niklas Höpner
Stefano V. Albrecht
ArXivPDFHTML

Papers citing "A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning"

4 / 4 papers shown
Title
Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners
Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners
Fengming Zhu
Fangzhen Lin
75
1
0
13 Feb 2025
Expected Value of Communication for Planning in Ad Hoc Teamwork
Expected Value of Communication for Planning in Ad Hoc Teamwork
William Macke
Reuth Mirsky
Peter Stone
16
25
0
01 Mar 2021
"Other-Play" for Zero-Shot Coordination
"Other-Play" for Zero-Shot Coordination
Hengyuan Hu
Adam Lerer
A. Peysakhovich
Jakob N. Foerster
VLM
OffRL
133
213
0
06 Mar 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
184
731
0
03 Sep 2019
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