Using Deep Reinforcement Learning for the Adaptation of Semantic Workflows.
Florian BrandKatharina LottLukas MalburgMaximilian HoffmannRalph BergmannPublished in: ICCBR Workshops (2023)
Keyphrases
- reinforcement learning
- data processing
- adaptation process
- natural language
- state space
- semantic web
- robotic control
- function approximation
- machine learning
- semantic knowledge
- web services
- semantic features
- semantic network
- semantic similarity
- hidden markov models
- image retrieval
- multi agent
- semantic information
- domain independent
- semantic annotation
- low level features
- business processes
- knowledge management
- supervised learning
- optimal control
- workflow management systems
- learning capabilities
- semantic representation
- high level