Multi-Agent Game Abstraction via Graph Attention Neural Network

Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao

Type: Preprint

Publication Date: 2019-01-01

Citations: 3

DOI: https://doi.org/10.48550/arxiv.1911.10715

View Publication

Locations

arXiv (Cornell University) - View - PDF
DataCite API - View

Similar Works

Action	Title	Year	Authors
+ PDF Chat	Multi-Agent Game Abstraction via Graph Attention Neural Network	2020	Yong Liu Weixun Wang Yujing Hu Jianye Hao Xingguo Chen Yang Gao
+ PDF Chat	Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games	2021	Won Joon Yun Sungwon Yi Joongheon Kim
+	Efficient Policy Generation in Multi-Agent Systems via Hypergraph Neural Network	2022	Bin Zhang Yunpeng Bai Zhiwei Xu Dapeng Li Guoliang Fan
+ PDF Chat	Multi-Agent Actor-Critic with Hierarchical Graph Attention Network	2020	Heechang Ryu Hayong Shin Jinkyoo Park
+	Multi-Agent Actor-Critic with Hierarchical Graph Attention Network	2019	Heechang Ryu Hayong Shin Jinkyoo Park
+	Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games	2021	Won Joon Yun Sungwon Yi Joongheon Kim
+	Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation	2018	Jiechuan Jiang Chen Dun Zongqing Lu
+	Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network	2021	Tianqi Shen Hong Zhang Ding Yuan Jiaping Xiao Y. F. Yang
+ PDF Chat	Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space	2023	Yining Chen Ke Wang Guanghua Song Xiaohong Jiang
+ PDF Chat	Self-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph	2024	Qingxu Fu Tenghai Qiu Jianqiang Yi Zhiqiang Pu Xiaolin Ai
+	Multi-Agent Reinforcement Learning with Graph Clustering.	2020	Tianze Zhou Fubiao Zhang Chenfei Wang
+	Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation	2022	Zhixuan Liang Jiannong Cao Shan Jiang Divya Saxena Huafeng Xu
+ PDF Chat	Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation	2022	Zhixuan Liang Jiannong Cao Shan Jiang Divya Saxena Huafeng Xu
+	Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments	2022	Qi Liu Zirui Li Xueyuan Li Jingda Wu Shihua Yuan
+ PDF Chat	A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning	2022	Qingxu Fu Tenghai Qiu Zhiqiang Pu Jianqiang Yi Wanmai Yuan
+	A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning	2022	Qingxu Fu Tenghai Qiu Zhiqiang Pu Jianqiang Yi Wanmai Yuan
+ PDF Chat	GNN with Model-based RL for Multi-agent Systems	2024	Hanxiao Chen
+	GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning	2022	Jingqing Ruan Yali Du Xuantang Xiong Dengpeng Xing Xiyun Li Linghui Meng Haifeng Zhang Jun Wang Bo Xu
+ PDF Chat	Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph	2020	Chuangchuang Sun Macheng Shen Jonathan P. How
+	Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph	2020	Chuangchuang Sun Macheng Shen Jonathan P. How

Works That Cite This (1)

Action	Title	Year	Authors
+	Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning	2020	Sheng Li Jayesh K. Gupta Peter Morales Ross Allen Mykel J. Kochenderfer

Works Cited by This (17)

Action	Title	Year	Authors
+	Multiple Object Recognition with Visual Attention	2014	Jimmy Ba Volodymyr Mnih Koray Kavukcuoglu
+	Recurrent Models of Visual Attention	2014	Volodymyr Mnih Nicolas Heess Alex Graves Koray Kavukcuoglu
+	Categorical Reparameterization with Gumbel-Softmax	2016	Eric Jang Shixiang Gu Ben Poole
+	Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments	2017	Ryan Lowe Yi Wu Aviv Tamar Jean Harb Pieter Abbeel Igor Mordatch
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov
+	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning	2018	Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob Foerster Shimon Whiteson
+	Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation	2018	Jiechuan Jiang Chen Dun Zongqing Lu
+	Show, Attend and Tell: Neural Image Caption Generation with Visual Attention	2015	Kelvin Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov Richard S. Zemel Yoshua Bengio
+ PDF Chat	Non-local Neural Networks	2018	Xiaolong Wang Ross Girshick Abhinav Gupta Kaiming He
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin