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ECML
2007
Springer
15 years 7 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
ICML
2004
IEEE
16 years 4 months ago
Unifying collaborative and content-based filtering
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
Justin Basilico, Thomas Hofmann
ICML
2006
IEEE
16 years 4 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
EDUTAINMENT
2007
Springer
15 years 10 months ago
Interactive Composition of 3D Faces for Virtual Characters
As many 3D on-line games appear, there is an increased need for simple and efficient techniques to create many new faces. This paper presents a new algorithm to composite 3D faces ...
Haeyoung Lee, Sungyeol Lee
EDUTAINMENT
2006
Springer
15 years 7 months ago
Haptic Puppetry for Interactive Games
In interactive computer games and computer animation, intuitively controlling the motion of an articulated character is considered as a difficult task. One of the reasons is that, ...
Sujeong Kim, Xinyu Zhang, Young J. Kim