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» Properties of state spaces and their applications
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ECML
2004
Springer
15 years 11 months 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 7 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 25 days 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 6 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...