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» Properties of state spaces and their applications
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ECML
2004
Springer
16 years 6 days ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner
IJCAI
2003
15 years 8 months ago
Switching Hypothesized Measurements: A Dynamic Model with Applications to Occlusion Adaptive Joint Tracking
This paper proposes a dynamic model supporting multimodal state space probability distributions and presents the application of the model in dealing with visual occlusions when tr...
Yang Wang 0002, Tele Tan, Kia-Fock Loe
ICRA
2009
IEEE
106views Robotics» more  ICRA 2009»
16 years 1 months ago
Simultaneous local and global state estimation for robotic navigation
— Recent applications of robotics often demand two types of spatial awareness: 1) A fine-grained description of the robot’s immediate surroundings for obstacle avoidance and p...
David C. Moore, Albert S. Huang, Matthew Walter, E...
ECCV
1994
Springer
16 years 8 months ago
Visual Tracking of High DOF Articulated Structures: an Application to Human Hand Tracking
Passive sensing of human hand and limb motion is important for a wide range of applications from human-computer interaction to athletic performance measurement. High degree of free...
James M. Rehg, Takeo Kanade
BMCBI
2008
152views more  BMCBI 2008»
15 years 7 months ago
Predicting biological system objectives de novo from internal state measurements
Background: Optimization theory has been applied to complex biological systems to interrogate network properties and develop and refine metabolic engineering strategies. For examp...
Erwin P. Gianchandani, Matthew A. Oberhardt, Antho...