Results 21 to 30 of about 2,892,641 (307)
Effects of hunger on model-based and model-free decision-making
van Swieten MMH, Manohar SG, Bogacz R Description In this study, healthy participants were tested on the effects of hunger on model-free and model-based decision-making.
Manohar, Sanjay G +2 more
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A Model-Free Control Method for Synchronous Vibration of Active Magnetic Bearing Rotor System
The unbalanced force on the active magnetic bearing (AMB) rotor system is the main reason of system vibrations, which always have periodic repetitive characteristics.
Yangbo Zheng +3 more
doaj +1 more source
An investigation of model-free planning
The field of reinforcement learning (RL) is facing increasingly challenging domains with combinatorial complexity. For an RL agent to address these challenges, it is essential that it can plan effectively. Prior work has typically utilized an explicit model of the environment, combined with a specific planning algorithm (such as tree search).
Arthur Guez +12 more
openaire +3 more sources
Model-Free Predictive Control for Reluctance Synchronous Motor Drives [PDF]
Study of the Model Free Predictive schemes act to solve the problem of the stagnation. Optimization of the forced anti-stagnation process. Description and implementation of an improved MF scheme, characterized by an indirect reconstruction of the current
Carlet, Paolo Gherardo
core
Private Paternalism, the Commitment Puzzle, and Model-Free Equilibrium
Paternalism is a policy that advances an individual's interests by restricting his or her freedom. In a setting with present-biased agents, I characterize the scope of private paternalism—paternalism implemented by private institutions.
Laibson, David
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maguzj/model-free-topological-mechanics: First release
No description ...
maguzj
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Real-Time Energy Management of a Microgrid Using Deep Reinforcement Learning
Driven by the recent advances and applications of smart-grid technologies, our electric power grid is undergoing radical modernization. Microgrid (MG) plays an important role in the course of modernization by providing a flexible way to integrate ...
Ying Ji +4 more
doaj +1 more source
Model-Free Data-Driven inelasticity [PDF]
We extend the Data-Driven formulation of problems in elasticity of Kirchdoerfer and Ortiz (2016) to inelasticity. This extension differs fundamentally from Data-Driven problems in elasticity in that the material data set evolves in time as a consequence of the history dependence of the material.
R. Eggersmann +4 more
openaire +4 more sources
Valid Model-Free Spatial Prediction
Predicting the response at an unobserved location is a fundamental problem in spatial statistics. Given the difficulty in modeling spatial dependence, especially in non-stationary cases, model-based prediction intervals are at risk of misspecification bias that can negatively affect their validity.
Mao, Huiying +2 more
openaire +4 more sources
Model-Free Quantum Gate Design and Calibration Using Deep Reinforcement Learning
High-fidelity quantum gate design is important for various quantum technologies, such as quantum computation and quantum communication. Numerous control policies for quantum gate design have been proposed given a dynamical model of the quantum system of ...
Shindi, O, Dong, D, Yu, Q, Girdhar, P
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