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Found 6 papers, 1 papers with code
VQPy: An Object-Oriented Approach to Modern Video Analytics
Video analytics is widely used in contemporary systems and services.
Deep Reinforcement Learning for Adaptive Learning Systems
In this paper, we formulate the adaptive learning problem---the problem of how to find an individualized learning plan (called policy) that chooses the most appropriate learning materials based on learner's latent traits---faced in adaptive learning systems as a Markov decision process (MDP).
Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning
In this letter, we address the problem of controlling energy storage systems (ESSs) for arbitrage in real-time electricity markets under price uncertainty.
Learning Dynamical Demand Response Model in Real-Time Pricing Program
In both cases, the dynamical DR model can be learned from historical price and energy consumption data.
Optimal Hierarchical Learning Path Design with Reinforcement Learning
To this end, we first develop a model for students' hierarchical skills in the E-learning system.
Optimal Tap Setting of Voltage Regulation Transformers Using Batch Reinforcement Learning
In this paper, we address the problem of setting the tap positions of load tap changers (LTCs) for voltage regulation in radial power distribution systems under uncertain load dynamics.
