Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments.
Patrick HartAlois C. KnollPublished in: CoRR (2020)
Keyphrases
- neural network
- reinforcement learning
- multi agent environments
- random walk
- directed graph
- pattern recognition
- graph model
- graph structure
- function approximation
- graph representation
- dynamic environments
- graph matching
- function approximators
- connected components
- fuzzy logic
- genetic algorithm
- graph theory
- multi agent
- neural network model
- semantic similarity
- robot behavior
- semantic description
- weighted graph
- autonomous robots
- real world
- learning capabilities
- spanning tree
- knn
- training process
- human behavior
- semantic web
- semantic network
- back propagation
- semantic annotation