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Found 6 papers, 0 papers with code
Investigation of the effectiveness of applying ChatGPT in Dialogic Teaching Using Electroencephalography
However, students who engaged in dialogue with ChatGPT exhibited lower performance on the transfer test.
Kalman Filter Design for Intermittent Optical Wireless Communication Systems on Time Scales
In this work, we address the state estimation problem of a vibration-induced intermittent optical wireless communication (OWC) system by designing a Kalman filter on time scales.
Quasi-Newton Iteration in Deterministic Policy Gradient
We show that the approximate Hessian converges to the exact Hessian at the optimal policy, and allows for a superlinear convergence in the learning, provided that the policy parametrization is rich.
Optimal Management of the Peak Power Penalty for Smart Grids Using MPC-based Reinforcement Learning
The cost of the power distribution infrastructures is driven by the peak power encountered in the system.
MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles
In this work, we propose a Model Predictive Control (MPC)-based Reinforcement Learning (RL) method for Autonomous Surface Vehicles (ASVs).
MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage
In this paper, we are interested in optimal control problems with purely economic costs, which often yield optimal policies having a (nearly) bang-bang structure.
