Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation.
Jiechuan JiangChen DunZongqing LuPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- multi agent cooperation
- multi agent
- multi agent systems
- function approximation
- graph representation
- graph theoretic
- directed graph
- connected components
- markov decision processes
- game theory
- graph matching
- random walk
- machine learning
- graph structure
- graph partitioning
- spanning tree
- structured data
- learning problems
- temporal difference
- reinforcement learning algorithms
- weighted graph
- bipartite graph
- graph data
- graph databases
- network architecture
- graph model
- optimal control
- graph theory
- dynamic programming
- learning process
- learning algorithm