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ECML
2007
Springer
15 years 9 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
DAGM
2006
Springer
15 years 9 months ago
Parameterless Isomap with Adaptive Neighborhood Selection
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
Nathan Mekuz, John K. Tsotsos
SGP
2007
15 years 8 months ago
As-rigid-as-possible surface modeling
Modeling tasks, such as surface deformation and editing, can be analyzed by observing the local behavior of the surface. We argue that defining a modeling operation by asking for ...
Olga Sorkine, Marc Alexa
ACMDIS
2010
ACM
15 years 5 months ago
LumiBots: making emergence graspable in a swarm of robots
Emergence is a concept that is not easy to grasp, since it contradicts our idea of central control and planning. In this work, we use a swarm of robots as a tangible tool to visua...
Mey Lean Kronemann, Verena Vanessa Hafner
INFORMATICALT
1998
91views more  INFORMATICALT 1998»
15 years 5 months ago
Forecasting Automation: an Emerging Branch of Forecasting Engineering
Principles of the framework called time series forecasting automation are presented. It is required in processing massive temporal data sets and creating completely user-oriented f...
Andrey Kharchenko