Graph Convolutional Memory for Deep Reinforcement Learning.
Steven D. MoradStephan LiwickiAmanda ProrokPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- deep learning
- graph theory
- graph representation
- graph model
- weighted graph
- graph structure
- memory requirements
- memory usage
- machine learning
- main memory
- random walk
- learning algorithm
- structured data
- function approximation
- unsupervised learning
- graph mining
- state space
- temporal difference
- graph theoretic
- graph construction
- transfer learning
- neural network
- limited memory
- dynamic programming
- undirected graph
- graph databases
- network architecture
- optimal policy