Pinned Repositories
AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
awesome-reinforcement-learning-zh
中文整理的强化学习资料（Reinforcement Learning）
Clash-Verge-rules-switch
CognitiveLevels
Python implementation to create the figures used in the publication 'Dynamical systems as a level of cognitive analysis of multi-agent learning - Algorithmic foundations of temporal-difference learning dynamics'
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
PeerTool
Peer合成工具，自动支持同步通信组合和异步通信组合
Regret-Minimization-in-Population-Network-Games
This repository contains the code and data used for the experiments in our paper, [Regret Minimization in Population Network Games: Vanishing Heterogeneity and Convergence to Equilibria]. The aim is to provide transparency and facilitate the reproducibility of our results.
RLCN
WebLaTex
OnlySwitch
⚙️ All-in-One menu bar app, hide 💻MacBook Pro's notch, dark mode, AirPods, Shortcuts
Diane-Best's Repositories
Diane-Best/Clash-Verge-rules-switch
Diane-Best/awesome-reinforcement-learning-zh
中文整理的强化学习资料（Reinforcement Learning）
Diane-Best/AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Diane-Best/CognitiveLevels
Python implementation to create the figures used in the publication 'Dynamical systems as a level of cognitive analysis of multi-agent learning - Algorithmic foundations of temporal-difference learning dynamics'
Diane-Best/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Diane-Best/PeerTool
Peer合成工具，自动支持同步通信组合和异步通信组合
Diane-Best/Regret-Minimization-in-Population-Network-Games
This repository contains the code and data used for the experiments in our paper, [Regret Minimization in Population Network Games: Vanishing Heterogeneity and Convergence to Equilibria]. The aim is to provide transparency and facilitate the reproducibility of our results.
Diane-Best/RLCN
Diane-Best/WebLaTex