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» A Note on Learning and Evolution in Neural Networks
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ML
1998
ACM
117views Machine Learning» more  ML 1998»
13 years 6 months ago
Learning Team Strategies: Soccer Case Studies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
ESANN
2006
13 years 8 months ago
Evolino for recurrent support vector machines
Abstract. We introduce a new class of recurrent, truly sequential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of systems with KErnel-...
Jürgen Schmidhuber, Matteo Gagliolo, Daan Wie...
GECCO
2011
Springer
274views Optimization» more  GECCO 2011»
12 years 10 months ago
Fuzzy dynamical genetic programming in XCSF
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
Richard Preen, Larry Bull
IWANN
2005
Springer
14 years 6 days ago
Characterizing Self-developing Biological Neural Networks: A First Step Towards Their Application to Computing Systems
Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While they are the most likely short-term alternative, other longer-term alternatives sho...
Hugues Berry, Olivier Temam
AIIDE
2009
13 years 7 months ago
Optimization of Platform Game Levels for Player Experience
We demonstrate an approach to modelling the effects of certain parameters of platform game levels on the players' experience of the game. A version of Super Mario Bros has be...
Chris Pedersen, Julian Togelius, Georgios N. Yanna...