Mrdawnzero

Mrdawnzero's Stars

• MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning

  This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

  Language:MATLAB4.3k567

• cog-imperial/OMLT

  Represent trained machine learning models as Pyomo optimization formulations

  Language:Python29559

• MuiseDestiny/zotero-gpt

  GPT Meet Zotero.

  Language:TypeScript5.4k220

• ZhiqingXiao/rl-book

  Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

  Language:HTML914322

• wangshusen/DRL

  Deep Reinforcement Learning

  3.5k594

• ShengrenHou/Optimal-Energy-System-Scheduling-Combining-Mixed-Integer-Programming-and-Deep-Reinforcement-Learning

  The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management

  Language:Python10520

• tahanakabi/DRL-for-microgrid-energy-management

  We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a population of thermostatically controlled loads, a population of price-responsive loads, and a connection to the main grid. The proposed energy management system is designed to coordinate between the different sources of flexibility by defining the priority resources, the direct demand control signals and the electricity prices. Seven deep reinforcement learning algorithms are implemented and empirically compared in this paper. The numerical results show a significant difference between the different deep reinforcement learning algorithms in their ability to converge to optimal policies. By adding an experience replay and a second semi-deterministic training phase to the well-known Asynchronous advantage actor critic algorithm, we achieved considerably better performance and converged to superior policies in terms of energy efficiency and economic value.

  Language:HTML19243

• overmind1980/oeasy-python-tutorial

  良心的 Python 教程，面向零基础初学者简明易懂的 Python3 入门基础课程。在linux+vim生产力环境下，从浅入深，从简单程序学到网络爬虫。可以配合蓝桥云上实验环境操作。

  Language:Shell2k974

• HITSZ-OpenAuto/HITSZ-OpenAuto

  哈工大（深圳）自动化本科开源计划

  24027