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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/
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Repository for most of the code from my YouTube channel
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
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..
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
Code repository for my course on the fundamentals of reinforcement learning
Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
Combining deep learning and reinforcement learning.
Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
A simple reinforcement learning simulation engine for OpenAI's gym.
This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
Kotlin implementation of algorithms, examples, and exercises from the Sutton and Barto: Reinforcement Learning (2nd Edition)
Tabular methods for reinforcement learning
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
Using reinforcement learning to find the shortest paths.
2021-2022国科大强化学习格斗游戏大作业
Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto
A hover system for Microsoft AirSim using reinforcement learning (Q-learning and SARSA)
Artificial Intelligence series
Demo of java-reinforcement-learning library using flappy bird
reinforcement learning algorithms from the book by Sutton and Barto
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
Reinforcement learning agents and environment for Easy21, a modified version of Blackjack
This repository contains the Matlab code used to generate the results in the paper “Enhancement of a state-of-the-art RL-based detection algorithm for Massive MIMO radars” https://ieeexplore.ieee.org/abstract/document/9760145
Q-learning and SARSA algorithms from Sutton's Reinforcement Learning book.