Graph convolution with topology refinement for Automatic Reinforcement Learning.

Jianghui Sang Yongli Wang

Published in: Neurocomputing (2023)

Keyphrases

reinforcement learning
function approximation
small world
graph structure
semi automatic
graph model
image processing

random walk
graph representation
connected components
learning algorithm
fully automatic
convolution kernel
reinforcement learning algorithms

graph theoretic
graph mining
graph theory
optimal policy
multi agent
weighted graph

spanning tree
structured data
state space
pairwise
function approximators
fully connected