Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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Updated
Jul 17, 2023 - Python
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Minimal and Clean Reinforcement Learning Examples
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Scalable, event-driven, deep-learning-friendly backtesting library
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Deep Reinforcement Learning with pytorch & visdom
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..
Asynchronous Methods for Deep Reinforcement Learning
RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
A3C LSTM Atari with Pytorch plus A3G design
Simple A3C implementation with pytorch + multiprocessing
Accompanying repository for Let's make a DQN / A3C series.
Reinforcement learning tutorials
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