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DAGM
2007
Springer
15 years 1 months ago
Efficient Learning of Neural Networks with Evolutionary Algorithms
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
Nils T. Siebel, Jochen Krause, Gerald Sommer
75
Voted
GAMEON
2008
14 years 11 months ago
Generating Emergent Team Strategies in Football Simulation Videogames via Genetic Algorithms
This paper defends the use of evolutionary algorithms to generate (and evolve) strategies that manage the behavior of a team in simulated football videogames. The chosen framework...
Antonio J. Fernández, Carlos Cotta, Rafael ...
96
Voted
DAGSTUHL
2003
14 years 11 months ago
Removing Some 'A' from AI: Embodied Cultured Networks
We embodied networks of cultured biological neurons in simulation and in robotics. This is a new research paradigm to study learning, memory, and information processing in real tim...
Douglas J. Bakkum, Alexander C. Shkolnik, Guy Ben-...
89
Voted
AI50
2006
15 years 1 months ago
Intrinsically Motivated Machines
Abstract. Children seem intrinsically motivated to manipulate, to explore, to test, to learn and they look for activities and situations that provide such learning opportunities. I...
Frédéric Kaplan, Pierre-Yves Oudeyer
IJRR
2002
80views more  IJRR 2002»
14 years 9 months ago
Time Optimal Trajectories for Bounded Velocity Differential Drive Vehicles
This paper presents the time optimal trajectories for differential drive vehicles in the unobstructed plane. The wheel angular velocities are bounded, but may be discontinuous. Th...
Devin J. Balkcom, Matthew T. Mason