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» Learning Behaviors Models for Robot Execution Control
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NIPS
2008
13 years 10 months ago
Local Gaussian Process Regression for Real Time Online Model Learning
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
TSMC
1998
152views more  TSMC 1998»
13 years 8 months ago
Discrete event representation of qualitative models using Petri nets
—The paper discusses how Petri nets may be used for the qualitative modeling of physical systems. The qualitative state of a system is represented by the marking of the net. The ...
Alessandra Fanni, Alessandro Giua
AROBOTS
2011
13 years 3 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
ML
1998
ACM
13 years 8 months ago
Conjectural Equilibrium in Multiagent Learning
Abstract. Learning in a multiagent environment is complicated by the fact that as other agents learn, the environment effectively changes. Moreover, other agents’ actions are oft...
Michael P. Wellman, Junling Hu
AIED
2005
Springer
14 years 2 months ago
Towards Data-Driven Design of a Peer Collaborative Agent
The research literature investigating the construction of tutorial dialogue and learning companion environments present parallel experiences in attempting to emulate what has been ...
Gahgene Gweon, Carolyn Penstein Rosé, Regan...