Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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Updated
Mar 31, 2024 - Python
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Minimal and Clean Reinforcement Learning Examples
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Scalable, event-driven, deep-learning-friendly backtesting library
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Asynchronous Methods for Deep Reinforcement Learning
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
Accompanying repository for Let's make a DQN / A3C series.
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Reinforcement learning tutorials
Deep Reinforcement Learning with pytorch & visdom
Simple A3C implementation with pytorch + multiprocessing
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
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