4446 search results - page 130 / 890 » Learning Observer Agents |
183
click to vote
TSD
2010
Springer
15 years 4 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
216
click to vote
WRAC
2005
Springer
16 years 8 days ago
2005
Springer
Abstract. This paper introduces a novel framework for designing multiagent systems, called “Distributed Agent Evolution with Dynamic Adaptation to Local Unexpected Scenarios” (...
201
click to vote
AAMAS
2002
Springer
15 years 6 months ago
2002
Springer
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
256
click to vote
ATAL
2010
Springer
15 years 8 months ago
2010
Springer
In Open Multi-Agent Systems (OMAS), deciding with whom to interact is a particularly difficult task for an agent, as repeated interactions with the same agents are scarce, and rep...
180
click to vote
ICWL
2004
Springer
16 years 4 days ago
2004
Springer
This paper presents an e-Learning Web-reachable hypermedia system as the foundation of a course content development toolset. Course content, developed in XML, is stored in native X...