Dealing with Sparse Rewards Using Graph Neural Networks.
Matvey GerasyovIlya MakarovPublished in: CoRR (2022)
Keyphrases
- neural network
- artificial neural networks
- reinforcement learning
- gaussian graphical models
- graph representation
- markov decision processes
- connected components
- multilayer perceptron
- graph structure
- neural nets
- random walk
- pattern recognition
- fuzzy logic
- recurrent neural networks
- graph model
- graph mining
- high dimensional
- graph theoretic
- graph theory
- graph construction
- sparse matrix
- graph matching
- directed acyclic
- sparse representation
- back propagation
- self organizing maps
- structured data
- long term and short term
- edge weights
- sparse data
- fuzzy systems
- multi layer
- weighted graph
- support vector machine
- bipartite graph
- sufficient conditions
- feed forward
- neural network model
- directed graph