195 search results - page 23 / 39 » Learning Agents for Uncertain Environments (Extended Abstrac... |
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. One of the objectives of intelligent data engineering and automated learning is to develop algorithms that learn the environment, generate rules, and take possible course...
ATAL
2010
Springer
13 years 9 months ago
2010
Springer
Autonomous agents transcend their individual capabilities by cooperating towards achieving shared goals. The different viewpoints agents have on the environment cause disagreement...
AGS
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. We describe a distributed architecture for situated largescale agent-based simulations with predominately local interactions. The approach, implemented in AglobeX Simulat...
AAAI
1998
13 years 10 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
ATAL
2004
Springer
14 years 1 months ago
2004
Springer
This paper describes our work constructing a generalized framework for modeling multi agent interactions in education-related applications. Historically, interactive learning syst...