3694 search results - page 24 / 739 » Stochastic complexity in learning |
81
Voted
ETAI
2000
14 years 9 months ago
2000
Stochastic logic programs combine ideas from probabilistic grammars with the expressive power of definite clause logic; as such they can be considered as an extension of probabili...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
93
Voted
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
Stochastic games are a generalization of MDPs to multiple agents, and can be used as a framework for investigating multiagent learning. Hu and Wellman (1998) recently proposed a m...
AAMAS
2005
Springer
15 years 3 months ago
2005
Springer
We report on an investigation of the learning of coordination in cooperative multi-agent systems. Specifically, we study solutions that are applicable to independent agents i.e. ...
ECIR
1998
Springer
14 years 11 months ago
1998
Springer
We present in this paper a combination of Machine Learning based Information Retrieval (IR) techniques and stochastic language modelling in a hierarchical system that extracts sur...