152 search results - page 22 / 31 » Observational learning in an uncertain world |
ATAL
2009
Springer
14 years 3 months ago
2009
Springer
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
AGENTS
1999
Springer
14 years 22 days ago
1999
Springer
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
SBIA
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
ALS
2003
Springer
14 years 1 months ago
2003
Springer
This is foremost a methodological contribution. It focuses on the foundation of anticipation and the pertinent implications that anticipation has on learning (theory and experiment...
WWW
2008
ACM
14 years 9 months ago
2008
ACM
Inferring an appropriate DTD or XML Schema Definition (XSD) for a given collection of XML documents essentially reduces to learning deterministic regular expressions from sets of ...