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» The State of Change: A Survey
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AIIDE
2006
15 years 8 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
CCIA
2009
Springer
15 years 7 months ago
Interaction, observance or both? Study of the effects on convention emergence
Abstract. Social conventions are useful self-sustaining protocols for groups to coordinate behavior without a centralized entity enforcing coordination. The emergence of such conve...
Daniel Villatoro, Jordi Sabater-Mir, Sandip Sen
ECAI
2010
Springer
15 years 7 months ago
Learning action effects in partially observable domains
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Kira Mourão, Ronald P. A. Petrick, Mark Ste...
ECAI
2010
Springer
15 years 6 months ago
Variable Level-Of-Detail Motion Planning in Environments with Poorly Predictable Bodies
Motion planning in dynamic environments consists of the generation of a collision-free trajectory from an initial to a goal state. When the environment contains uncertainty, preven...
Stefan Zickler, Manuela M. Veloso
CGF
2008
139views more  CGF 2008»
15 years 6 months ago
CHC++: Coherent Hierarchical Culling Revisited
We present a new algorithm for efficient occlusion culling using hardware occlusion queries. The algorithm significantly improves on previous techniques by making better use of te...
Oliver Mattausch, Jirí Bittner, Michael Wim...