Korean NLP Python Library for Economic Analysis
强化学习中文教程（蘑菇书?），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Open Policy Agent (OPA) is an open source, general-purpose policy engine.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
An elegant PyTorch deep reinforcement learning library.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
