Stars
Implementation of the paper "WToE: Learning When to Explore in Multi-Agent Reinforcement Learning"
Implementation of the paper "Multi-Agent Exploration via Self-Learning and Social Learning"
Implementation of the paper "Egoism, Utilitarianism and Egalitarianism in Multi-Agent Reinforcement Learning"
Implementation of the paper "Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in Mixed Cooperative and Competitive Environments"
Useful resources for creating apps with Electron
A curated list of awesome exploration RL resources (continually updated)
南京大学 计算机科学与技术系 2018秋季课程 《博弈论及其应用》
The official GitHub page for the survey paper "A Survey of Large Language Models".
✨✨Latest Advances on Multimodal Large Language Models
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
Fine-tune LLM agents with online reinforcement learning
OpenReivew Submission Visualization (ICLR 2024/2025)
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
This is a repository to evaluate the agent under the grid2op framework
FinRL®-Meta: Dynamic datasets and market environments for FinRL.
Master programming by recreating your favorite technologies from scratch.