强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
#计算机科学#Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
翻译 - 简单钢筋学习教程
#计算机科学#Deep Learning and Reinforcement Learning Library for Scientists and Engineers
翻译 - 面向科学家的深度学习和强化学习库🔥
#算法刷题#PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
翻译 - DQN、AC、ACER、A2C、A3C、PG、DDPG、TRPO、PPO、SAC、TD3 和...的 PyTorch 实现。
#计算机科学#Minimal and Clean Reinforcement Learning Examples
翻译 - 最小和干净的强化学习示例
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
#计算机科学#PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
#计算机科学#Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
#时序数据库#Scalable, event-driven, deep-learning-friendly backtesting library
#计算机科学#Deep Reinforcement Learning with pytorch & visdom
#计算机科学#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,...
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
Simple A3C implementation with pytorch + multiprocessing
#计算机科学#🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
#计算机科学#Asynchronous Methods for Deep Reinforcement Learning
A3C LSTM Atari with Pytorch plus A3G design
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
#计算机科学#Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Accompanying repository for Let's make a DQN / A3C series.