IEEE

Reward Based Charging and Discharging of Electric Vehicles Using Deep Q-Learning and Stackelberg Game

Abstract: The growing adoption of electric vehicles (EVs) poses significant challenges for grid operators, especially in managing load fluctuations during peak charging times. This paper introduces a ...
Microsoft

Accurate and scalable exchange-correlation with deep learning

Density Functional Theory (DFT) is the most widely used electronic structure method for predicting the properties of molecules and materials. Although DFT is, in principle, an exact reformulation of ...
IEEE

A Q-Learning Novelty Search Strategy for Evaluating Robustness of Deep Reinforcement Learning in Open-World Environments

Abstract: Despite substantial progress in deep reinforcement learning (DRL), a systematic characterization of DRL agents’ robustness to unexpected events in the environment is relatively understudied.