Pinned Repositories
ai_lib
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
CityLearn
Official reinforcement learning environment for demand response and load shaping
Conditional-Sig-Wasserstein-GANs
cv
My academic CV powered by LaTeX
cvxpower
Power Network Optimization and Simulation.
DRL-Energy-Management
Deep reinforcement learning based energy management strategy for hybrid electric vehicle
ElegantRL
Lightweight and scalable deep reinforcement learning using PyTorch. 🔥
energy-py
Reinforcement learning for energy systems
jianzuo's Repositories
jianzuo/DRL-Energy-Management
Deep reinforcement learning based energy management strategy for hybrid electric vehicle
jianzuo/ElegantRL
Lightweight and scalable deep reinforcement learning using PyTorch. 🔥
jianzuo/energy-py
Reinforcement learning for energy systems
jianzuo/ai_lib
jianzuo/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
jianzuo/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
jianzuo/CityLearn
Official reinforcement learning environment for demand response and load shaping
jianzuo/Conditional-Sig-Wasserstein-GANs
jianzuo/cv
My academic CV powered by LaTeX
jianzuo/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。
jianzuo/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
jianzuo/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.
jianzuo/fastbook
The fastai book, published as Jupyter Notebooks
jianzuo/gym-anm
Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.
jianzuo/gym-anm-exp
Run MPC-based policies and train RL agents in gym-anm environments using implementations from Stable Baselines 3.
jianzuo/hands-on-rl
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
jianzuo/homework_fall2021
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
jianzuo/IEEE-2014-datasets
jianzuo/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
jianzuo/jMetal
jMetal: a framework for multi-objective optimization with metaheuristics
jianzuo/lecture-julia.myst
Lecture source for "Quantitative Economics with Julia"
jianzuo/LTSF-Linear
This is the official implementation for AAAI-23 paper "Are Transformers Effective for Time Series Forecasting?"
jianzuo/malib
A parallel framework for population-based multi-agent reinforcement learning.
jianzuo/msppy
jianzuo/pytorch-Deep-Learning
Deep Learning (with PyTorch)
jianzuo/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
jianzuo/ReliabilityBookScripts
In this repository you will find scripts, datasets, examples developped in the book "System Reliability Theory; Models, Statistical Methods and Applications" by M. Rausand, A. Barros, A. Høyland (Wiley Edition).
jianzuo/resume
个人中文简历 Latex 源码 https://hijiangtao.github.io/
jianzuo/SCINet
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.
jianzuo/timegan-pytorch
This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.