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GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 1 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
AAAI
2000
13 years 9 months ago
Defining and Using Ideal Teammate and Opponent Agent Models
A common challenge for agents in multiagent systems is trying to predict what other agents are going to do in the future. Such knowledge can help an agent determine which of its c...
Peter Stone, Patrick Riley, Manuela M. Veloso
GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
13 years 8 months ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan
CIRA
2007
IEEE
130views Robotics» more  CIRA 2007»
14 years 2 months ago
Compliant Formation Control of a Multi-Vehicle System
— This research identifies a strategy called compliant formation control, which may be used to coordinate the navigational structure of a team of autonomous vehicles. This techni...
Erica Z. MacArthur, Carl D. Crane III
CORR
2011
Springer
161views Education» more  CORR 2011»
12 years 11 months ago
Doubly Robust Policy Evaluation and Learning
We study decision making in environments where the reward is only partially observed, but can be modeled as a function of an action and an observed context. This setting, known as...
Miroslav Dudík, John Langford, Lihong Li