Using background knowledge to speed reinforcement learning in physical agents.
Daniel G. ShapiroPat LangleyRoss D. ShachterPublished in: Agents (2001)
Keyphrases
- background knowledge
- reinforcement learning
- multi agent
- learning agents
- multi agent systems
- action selection
- agent receives
- domain knowledge
- inductive logic programming
- multiple agents
- logic programs
- positive examples
- learning agent
- machine learning
- semi supervised clustering
- learning algorithm
- semantic information
- prior knowledge
- learning process
- representation language
- additional knowledge
- domain theory
- ontology learning
- high level
- reference set
- world knowledge
- relational information