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» Intelligent Optimization via Learnable Evolution Model
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GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 1 months ago
Action-selection and crossover strategies for self-modeling machines
In previous work [7] a computational framework was demonstrated that employs evolutionary algorithms to automatically model a given system. This is accomplished by alternating the...
Josh C. Bongard
ATAL
2001
Springer
13 years 12 months ago
Simple Negotiating Agents in Complex Games:
We present a simple model of distributed multi-agent multi-issued contract negotiation for open systems where interactions are competitive and information is private and not shared...
Peyman Faratin, Mark Klein, Hiroki Sayama, Yaneer ...
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolving musical performance profiles using genetic algorithms with structural fitness
This paper presents a system that uses Genetic Algorithm (GA) to evolve hierarchical pulse sets (i.e., hierarchical duration vs. amplitude matrices) for expressive music performan...
Qijun Zhang, Eduardo Reck Miranda
ATAL
2003
Springer
14 years 18 days ago
An asynchronous complete method for distributed constraint optimization
We present a new polynomial-space algorithm, called Adopt, for distributed constraint optimization (DCOP). DCOP is able to model a large class of collaboration problems in multi-a...
Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Mak...
GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
14 years 1 months ago
Neuroevolutionary reinforcement learning for generalized helicopter control
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
Rogier Koppejan, Shimon Whiteson