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» On learning with dissimilarity functions
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AAIP
2009
15 years 7 months ago
Incremental Learning in Inductive Programming
Inductive programming systems characteristically exhibit an exponential explosion in search time as one increases the size of the programs to be generated. As a way of overcoming ...
Robert Henderson
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 9 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
184
Voted
ICRA
2009
IEEE
207views Robotics» more  ICRA 2009»
15 years 3 months ago
Bayesian network-based behavior control for skilligent robots
A Skilligent robot must be able to learn skills autonomously to accomplish a task. "Skilligence" is the capacity of the robot to control behaviors reasonably, based on th...
Sang Hyoung Lee, Il Hong Suh
ATAL
2009
Springer
16 years 20 days ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
ECTEL
2007
Springer
16 years 8 days ago
MACE - Enriching Architectural Learning Objects for Experience Multiplication
Education in architecture requires access to a broad range of learning materials to develop flexibility and creativity in design. The learning material is compromised of textual an...
Moritz Stefaner, Elisa Dalla Vecchia, Massimiliano...