4446 search results - page 206 / 890 » Learning Observer Agents |
145
click to vote
ATAL
2009
Springer
15 years 11 months ago
2009
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
135
click to vote
AAAI
2006
15 years 5 months ago
2006
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
102
click to vote
AAAI
2006
15 years 5 months ago
2006
We study the performance of two representations of word meaning in learning noun-modifier semantic relations. One representation is based on lexical resources, in particular WordN...
123
click to vote
DAGSTUHL
2003
15 years 5 months ago
2003
This chapter presents a generic internal reward system that drives an agent to increase the complexity of its behavior. This reward system does not reinforce a predefined task. It...
130
click to vote
AAAI
1998
15 years 5 months ago
1998
A key problem in text summarization is finding a salience function which determines what information in the source should be included in the summary. This paper describes the use ...