473 search results - page 83 / 95 » Programmable Reinforcement Learning Agents |
AGI
2011
13 years 6 days ago
2011
Comparing humans and machines is one important source of information about both machine and human strengths and limitations. Most of these comparisons and competitions are performe...
ATAL
2006
Springer
14 years 9 days ago
2006
Springer
This paper proposes an efficient agent for competing in Cliff Edge (CE) environments, such as sealed-bid auctions, dynamic pricing and the ultimatum game. The agent competes in on...
ATAL
2006
Springer
14 years 9 days ago
2006
Springer
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
IAT
2010
IEEE
13 years 6 months ago
2010
IEEE
It is crucial for embedded systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems. In t...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Schulenburg [15] first proposed the idea to model different trader types by supplying different input information sets to a group of homogenous LCS agent. Gershoff [12] investigat...