Multi-Agent Game Abstraction via Graph Attention Neural Network.
Yong LiuWeixun WangYujing HuJianye HaoXingguo ChenYang GaoPublished in: CoRR (2019)
Keyphrases
- neural network
- multi agent
- american football
- graph theory
- multi agent simulation
- extensive form games
- artificial neural networks
- graph model
- back propagation
- game theory
- video games
- pattern recognition
- random walk
- game play
- structured data
- fault diagnosis
- graph structure
- computer games
- educational games
- autistic children
- graph matching
- multi agent systems
- directed graph
- neural network is trained
- graph representation
- game playing
- graph databases
- game design
- fuzzy logic
- graph mining
- directed acyclic graph
- connected components
- feed forward
- virtual world
- graph theoretic
- nash equilibria
- cooperative
- reinforcement learning
- imperfect information games
- high level