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IIE
2007
130views more  IIE 2007»
15 years 4 months ago
An Iterative Methodology for Teaching Object Oriented Concepts
Abstract thinking is a vital skill when learning computer science. Object technology and the concepts it is based upon make this skill even more crucial. However, previous research...
Irit Hadar, Ethan Hadar
ICRA
2005
IEEE
128views Robotics» more  ICRA 2005»
15 years 10 months ago
Behavior-Grounded Representation of Tool Affordances
Abstract— This paper introduces a novel approach to representing and learning tool affordances by a robot. The tool representation described here uses a behavior-based approach t...
Alexander Stoytchev
ICCBR
2005
Springer
15 years 9 months ago
Opportunities for CBR in Learning by Doing
In this paper we partially describe JV2 M, a metaphorical simulation of the Java Virtual Machine where students can learn Java language compilation and reinforce object-oriented pr...
Pedro Pablo Gómez-Martín, Marco Anto...
GECCO
2004
Springer
142views Optimization» more  GECCO 2004»
15 years 9 months ago
Improving MACS Thanks to a Comparison with 2TBNs
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuil...
ICMLA
2010
15 years 2 months ago
Multimodal Parameter-exploring Policy Gradients
Abstract-- Policy Gradients with Parameter-based Exploration (PGPE) is a novel model-free reinforcement learning method that alleviates the problem of high-variance gradient estima...
Frank Sehnke, Alex Graves, Christian Osendorfer, J...