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ATAL
2008
Springer
13 years 11 months ago
Dynamics based control with PSRs
We present an extension of the Dynamics Based Control (DBC) paradigm to environment models based on Predictive State Representations (PSRs). We show an approximate greedy version ...
Ariel Adam, Zinovi Rabinovich, Jeffrey S. Rosensch...
ICRA
2009
IEEE
103views Robotics» more  ICRA 2009»
14 years 4 months ago
Modeling and motion planning for mechanisms on a non-inertial base
— Robotic manipulators on ships and platforms suffer from large inertial forces due to the non-inertial motion of the ship or platform. When operating in high sea state, operatio...
Pål Johan From, Vincent Duindam, Jan Tommy G...
FAST
2009
13 years 7 months ago
Provenance as Data Mining: Combining File System Metadata with Content Analysis
Provenance describes how an object came to be in its present state. Thus, it describes the evolution of the object over time. Prior work on provenance has focussed on databases an...
Vinay Deolalikar, Hernan Laffitte
AAAI
2010
13 years 11 months ago
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
SYNTHESE
2010
70views more  SYNTHESE 2010»
13 years 4 months ago
Models and fiction
Most scientific models are not physical objects, and this raises important questions. What sort of entity are models, what is truth in a model, and how do we learn about models? In...
Roman Frigg