Graph Convolutional Reinforcement Learning.
Jiechuan JiangChen DunTiejun HuangZongqing LuPublished in: ICLR (2020)
Keyphrases
- reinforcement learning
- function approximation
- graph representation
- random walk
- structured data
- graph matching
- model free
- graph mining
- spanning tree
- graph partitioning
- directed graph
- markov decision processes
- deep learning
- dependency graph
- robotic control
- machine learning
- graph construction
- graph model
- graph theory
- multi agent
- learning algorithm
- neural network
- directed acyclic graph
- learning classifier systems
- bipartite graph
- learning problems
- connected components
- graph theoretic
- reinforcement learning algorithms
- state space
- graph based algorithm
- policy search