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AAAI
2010
15 years 5 months ago
Reinforcement Learning via AIXI Approximation
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
Joel Veness, Kee Siong Ng, Marcus Hutter, David Si...
128
Voted
IWC
2008
99views more  IWC 2008»
15 years 3 months ago
Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace
Interactive algorithm visualizations (AVs) are powerful tools for teaching and learning concepts that are difficult to describe with static media alone. However, while countless A...
Saleema Amershi, Giuseppe Carenini, Cristina Conat...
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
15 years 4 months ago
Unsupervised learning of echo state networks: balancing the double pole
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
Fei Jiang, Hugues Berry, Marc Schoenauer
122
Voted
SIGCSE
2009
ACM
151views Education» more  SIGCSE 2009»
16 years 4 months ago
A CS unplugged design pattern
"Computer Science (CS) Unplugged"is an educational method for introducing non-specialists to concepts of CS through hands-on activities that don't require the use o...
Tomohiro Nishida, Susumu Kanemune, Yukio Idosaka, ...
119
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MICRO
2007
IEEE
135views Hardware» more  MICRO 2007»
15 years 10 months ago
Microarchitectural Design Space Exploration Using an Architecture-Centric Approach
The microarchitectural design space of a new processor is too large for an architect to evaluate in its entirety. Even with the use of statistical simulation, evaluation of a sing...
Christophe Dubach, Timothy M. Jones, Michael F. P....