Multi-agent reinforcement learning for traffic assignment

A collection of Gymnasium environments for engineering optimization problems, designed for reinforcement learning (RL) research.

😼 优雅地使用基于 clash/mihomo 的代理环境

📚 从零开始的大语言模型原理与实践教程

A curated reading list of research in Mixture-of-Experts(MoE).

A collection of AWESOME things about mixture-of-experts

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A simple and trans-platform agent framework and tutorial

A simple and trans-platform rag framework and tutorial

Prioritized Experience Replay (PER) implementation in PyTorch

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

Simplifying reinforcement learning for complex game environments

Large Language Models and Robotics.

wow-fullstack，令人惊叹的全栈开发教程

Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

Paper list of multi-agent reinforcement learning (MARL)

经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新

计算机自学指南

https://hrl.boyuai.com/

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Lightweight version of MAPPO to help you quickly migrate to your local environment.

Experiments of the three PPO-Algorithms (PPO, clipped PPO, PPO with KL-penalty) proposed by John Schulman et al. on the 'Cartpole-v1' environment.

rl-papers