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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
ICML
2004
IEEE
16 years 6 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 6 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
16 years 2 days 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 9 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