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GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 10 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
CVPR
2010
IEEE
15 years 9 months ago
Robust Piecewise-Planar 3D Reconstruction and Completion from Large-Scale Unstructured Point Data
In this paper, we present a novel method, the first to date to our knowledge, which is capable of directly and automatically producing a concise and idealized 3D representation f...
Anne-Laure Chauve, Patrick Labatut, Jean-Philippe ...
AAAI
2007
15 years 9 months ago
A Connectionist Cognitive Model for Temporal Synchronisation and Learning
The importance of the efforts towards integrating the symbolic and connectionist paradigms of artificial intelligence has been widely recognised. Integration may lead to more e...
Luís C. Lamb, Rafael V. Borges, Artur S. d'...
AAAI
2008
15 years 9 months ago
Prime Implicate Normal Form for ALC Concepts
In this paper, we present a normal form for concept expressions in the description logic ALC which is based on a recently introduced notion of prime implicate for the modal logic ...
Meghyn Bienvenu
ICIA
2007
15 years 9 months ago
VizScript: Visualizing Complex Interactions in Multi-Agent Systems
We address the problem of users creating visualizations to debug and understand multi-agent systems. The key challenges are that (1) needs arise dynamically, i.e., it is difficult...
Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedr...