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» Combining Learned Discrete and Continuous Action Models
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WSC
2007
14 years 11 months ago
Simulation of continuous behavior using discrete tools: ORE conveyor transport
The modeling of systems mixing discrete and continuous behavior is a challenge for model builders. Sometimes, the continuous part is important, but small near the complex decision...
Marcelo Moretti Fioroni, Luiz Augusto Gago Franzes...
IROS
2007
IEEE
123views Robotics» more  IROS 2007»
15 years 3 months ago
Reinforcement learning in multi-dimensional state-action space using random rectangular coarse coding and Gibbs sampling
: This paper presents a coarse coding technique and an action selection scheme for reinforcement learning (RL) in multi-dimensional and continuous state-action spaces following con...
Kimura Kimura
ANSS
2002
IEEE
15 years 2 months ago
Modelica-A General Object-Oriented Language for Continuous and Discrete-Event System Modeling and Simulation
Modelica is a general equation-based object-oriented language for continuous and discrete-event modeling of physical systems for the purpose of efficient simulation. The language ...
Peter Fritzson, Peter Bunus
CPAIOR
2005
Springer
15 years 3 months ago
Mixed Discrete and Continuous Algorithms for Scheduling Airborne Astronomy Observations
We describe the problem of scheduling astronomy observations for the Stratospheric Observatory for Infrared Astronomy, an airborne telescope. The problem requires maximizing the nu...
Jeremy Frank, Elif Kürklü
ECCV
2008
Springer
15 years 11 months ago
Latent Pose Estimator for Continuous Action Recognition
Recently, models based on conditional random fields (CRF) have produced promising results on labeling sequential data in several scientific fields. However, in the vision task of c...
Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huan...