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» Terminating Decision Algorithms Optimally
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ATAL
2009
Springer
15 years 10 months ago
Pick-a-bundle: a novel bundling strategy for selling multiple items within online auctions
In this paper, we consider the design of an agent that is able to autonomously make optimal bundling decisions when selling multiple heterogeneous items within existing online auc...
Ioannis A. Vetsikas, Alex Rogers, Nicholas R. Jenn...
128
Voted
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
15 years 4 months ago
Multi-agent task allocation: learning when to say no
This paper presents a communication-less multi-agent task allocation procedure that allows agents to use past experience to make non-greedy decisions about task assignments. Exper...
Adam Campbell, Annie S. Wu, Randall Shumaker
178
Voted
GECCO
2008
Springer
178views Optimization» more  GECCO 2008»
15 years 4 months ago
Agent Smith: a real-time game-playing agent for interactive dynamic games
The goal of this project is to develop an agent capable of learning and behaving autonomously and making decisions quickly in a dynamic environment. The agent’s environment is a...
Ryan K. Small
147
Voted
ADHOCNOW
2008
Springer
15 years 10 months ago
Geographic Routing with Early Obstacles Detection and Avoidance in Dense Wireless Sensor Networks
Existing geographic routing algorithms for sensor networks are mainly concerned with finding a path toward a destination, without explicitly addressing the impact of obstacles on ...
Luminita Moraru, Pierre Leone, Sotiris E. Nikolets...
137
Voted
JMLR
2010
107views more  JMLR 2010»
14 years 10 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper