847 search results - page 21 / 170 » Learning Action Selection Network of Intelligent Agent |
AAAI
2006
15 years 1 months ago
2006
In recent years there has been a great deal of interest in "modular reinforcement learning" (MRL). Typically, problems are decomposed into concurrent subgoals, allowing ...
AAMAS
2007
Springer
14 years 12 months ago
2007
Springer
We consider a repeated Prisoner’s Dilemma game where two independent learning agents play against each other. We assume that the players can observe each others’ action but ar...
ECAI
2010
Springer
15 years 25 days ago
2010
Springer
Abstract. Human users trying to plan and accomplish informationdependent goals in highly dynamic environments with prevalent uncertainty must consult various types of information s...
AIIDE
2006
15 years 1 months ago
2006
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
ATAL
2004
Springer
15 years 5 months ago
2004
Springer
This paper presents a reinforcement learning algorithm used to allocate tasks to agents in an uncertain real-time environment. In such environment, tasks have to be analyzed and a...