A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation.
Huimu WangZhiqiang PuZhen LiuJianqiang YiTenghai QiuPublished in: CASE (2020)
Keyphrases
- reinforcement learning
- multi agent cooperation
- multi agent
- multi agent systems
- graph theory
- graph theoretic
- directed graph
- structured data
- random walk
- graph model
- graph structure
- function approximation
- game theory
- state space
- graph based algorithm
- graph representation
- optimal policy
- learning algorithm
- weighted graph
- dependency graph
- graph partitioning
- temporal difference
- autonomous mental development
- connected components
- graph structures
- reinforcement learning algorithms
- learning classifier systems
- resource allocation
- markov decision processes
- visual attention