467 search results - page 24 / 94 » Learning of Agents with Limited Resources |
ALT
2006
Springer
14 years 4 months ago
2006
Springer
Consider an agent interacting with an environment in cycles. In every interaction cycle the agent is rewarded for its performance. We compare the average reward U from cycle 1 to ...
AAAI
1996
13 years 9 months ago
1996
Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
ECML
2003
Springer
14 years 29 days ago
2003
Springer
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
NEUROSCIENCE
2001
Springer
14 years 6 days ago
2001
Springer
This volume is intended to help advance the field of artificial neural networks along the lines of complexity present in animal brains. In particular, we are interested in examin...
LREC
2008
13 years 9 months ago
2008
This paper describes experimental use of the multi-agent architecture to integrate Natural Language and Information Systems research and teaching, by casting a group of students a...