Abstract: Deep reinforcement learning (DRL) methods have been applied to power system problems in active distribution networks, including the inverter-based volt/var control (VVC). However, existing ...

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

An overview of our research on agentic RL. In this work, we systematically investigate three dimensions of agentic RL: data, algorithms, and reasoning modes. Our findings reveal: Real end-to-end ...

Abstract: This paper addresses the critical challenge of enhancing resiliency in smart power grids against cyber-physical disturbances, including cyber-attacks, system faults, and dynamic load ...

This is a fork of "RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization" to make it more portable for ease of use in research. The goal of this repository is to provide an easier way ...