Sharing experiences to learn user characteristics in dynamic environments with sparse data.
David SarneBarbara J. GroszPublished in: AAMAS (2007)
Keyphrases
- dynamic environments
- sparse data
- high dimensional
- reinforcement learning agents
- mobile robot
- autonomous agents
- highly dynamic environments
- collision avoidance
- changing environment
- potential field
- agent systems
- pattern recognition
- multi category
- path planning
- principal component analysis
- data sources
- single agent
- multiple users
- real environment
- sensory information
- data mining
- data sets