Inference code for Llama models

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

An elegant PyTorch deep reinforcement learning library.

PyTorch implementations of deep reinforcement learning algorithms and environments

豆瓣读书的爬虫

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Python Multi-Agent Reinforcement Learning framework

This is the official implementation of Multi-Agent PPO (MAPPO).

一个股票数据（沪深）爬虫和选股策略测试框架

SMAC: The StarCraft Multi-Agent Challenge

Scalable Multi-Agent RL Training School for Autonomous Driving

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Implementation of TRPO and related algorithms

PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.

Mean Field Multi-Agent Reinforcement Learning

DGN Code

《互联网大厂推荐算法实战》资料库

This is a simple implementation of DeepMind's PySC2 RL agents.

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Implementing reinforcement-learning algorithms for pysc2 -environment

Assignments for CS294-112.

An improved version of EOI on Starcraft II task so_many_baneling. (The Emergence of Individuality)

Where I put all my SC2 stuff