6488 Open source projects that are alternatives of or similar to Rl_learn

Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

Quiz & Assignment of Coursera

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Learn Python for free using open-source notebooks in Hebrew.

Tools for using computer algebra systems to solve math problems step-by-step with reinforcement learning

TensorFlow Tutorials with YouTube Videos

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Learning numerical computing with notebooks for all ages.

中国象棋alpha zero程序

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Reinforcement Learning Workshop for Data Science BKK

All of the code for my Medium articles

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Chess reinforcement learning by AlphaGo Zero methods.

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Solutions of Reinforcement Learning, An Introduction

[tutorial]A functional, Data Science focused introduction to Python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

backtrader with DRL ( Deep Reinforcement Learning)

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

Some notebooks

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

60_Days_RL_Challenge中文版

MAGNet: Multi-agents control using Graph Neural Networks

Learning human driver models from NGSIM data with imitation learning.

Open Machine Learning course at MIPT

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Teach a Quadcopter How to Fly!

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

A repo for data science related questions and answers

Repository containing monthly challenges about quantum computing.

PyTorch implementation of Soft Actor-Critic (SAC)

Master Thesis: Limit order placement with Reinforcement Learning

Deep Reinforcement Learning for de-novo Drug Design

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

This is Andrew NG Coursera Handwritten Notes.

A course in reinforcement learning in the wild

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

🙄 Difficult algorithm, Simple code.

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Machine Learning notebooks for refreshing concepts.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠