111 search results - page 8 / 23 » Guiding Inference Through Relational Reinforcement Learning |
KESAMSTA
2010
Springer
14 years 15 days ago
2010
Springer
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
AAMAS
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
ATAL
2004
Springer
14 years 1 months ago
2004
Springer
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
SEMWEB
2009
Springer
14 years 2 months ago
2009
Springer
A modelling procedure consists of a sequence of modelling tasks. With the increasing size of models during the development, the relations among modelling objects and their correspo...
HICSS
2003
IEEE
14 years 1 months ago
2003
IEEE
Basically, instrumental conditioning is learning through consequences: Behavior that produces positive results (high “instrumental response”) is reinforced, and that which pro...