Decoding Molecular Graph Embeddings with Reinforcement Learning.
Steven M. KearnesLi LiPatrick RileyPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- function approximation
- directed graph
- graph theory
- low dimensional
- random walk
- connected components
- three dimensional
- reinforcement learning algorithms
- dimensionality reduction
- optimal control
- spanning tree
- structured data
- action selection
- drug discovery
- multi agent
- machine learning
- model free
- graph representation
- graph model
- decoding algorithm
- graph structure
- euclidean space
- manifold learning
- vector space
- distance measure
- supervised learning
- hidden markov models
- learning algorithm