147 search results - page 25 / 30 » Rule value reinforcement learning for cognitive agents |
ATAL
2006
Springer
13 years 11 months 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
2007
Springer
14 years 1 months ago
2007
Springer
We investigate a framework where agents search for satisfying products by using referrals from other agents. Our model of a mechanism for transmitting word-of-mouth and the result...
FQAS
2009
Springer
13 years 5 months ago
2009
Springer
In this paper, an agent is defined as a triple (S, RS, LS), where S is a multi-hierarchical decision system, RS is a set of rules extracted from S defining values of its decision a...
GECCO
2007
Springer
14 years 1 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...
IROS
2008
IEEE
14 years 2 months ago
2008
IEEE
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...