Free course that takes you from zero to Reinforcement Learning PRO πŸ¦ΈπŸ»β€πŸ¦ΈπŸ½

Overview

The Hands-on Reinforcement Learning course πŸš€

From zero to HERO πŸ¦ΈπŸ»β€πŸ¦ΈπŸ½

Out of intense complexities, intense simplicities emerge.

-- Winston Churchill

Contents

Welcome to the course πŸ€— ❀️

Welcome to my step by step hands-on-course that will take you from basic reinforcement learning to cutting-edge deep RL.

We will start with a short intro of what RL is, what is it used for, and how does the landscape of current RL algorithms look like.

Then, in each following chapter we will solve a different problem, with increasing difficulty:

  • πŸ† easy
  • πŸ† πŸ† medium
  • πŸ† πŸ† πŸ† hard

Ultimately, the most complex RL problems involve a mixture of reinforcement learning algorithms, optimizations and Deep Learning techniques.

You do not need to know deep learning (DL) to follow along this course.

I will give you enough context to get you familiar with DL philosophy and understand how it becomes a crucial ingredient in modern reinforcement learning.

Lectures

  1. Introduction to Reinforcement Learning
  2. Q-learning to drive a taxi πŸ†
  3. SARSA to beat gravity πŸ†
  4. Parametric Q learning to keep the balance πŸ’ƒ πŸ†
  5. Policy gradients to land on the Moon πŸ†

Wanna contribute?

There are 2 things you can do to contribute to this course:

  1. Spread the word and share it on Twitter, LinkedIn

  2. Open a pull request to fix a bug or improve the code readability.

Thanks ❀️

Special thanks to all the students who contributed with valuable feedback and pull requests ❀

Let's connect!

πŸ‘‰πŸ½ Subscribe to the datamachines newsletter.

πŸ‘‰πŸ½ Follow me on Medium, Twitter, LinkedIn

[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias

Counterfactual VQA (CF-VQA) This repository is the Pytorch implementation of our paper "Counterfactual VQA: A Cause-Effect Look at Language Bias" in C

Yulei Niu 77 Jan 17, 2022
Springer Link Download Module for Python

β™ž pupalink A simple Python module to search and download books from SpringerLink. πŸ§ͺ This project is still in an early stage of development. Expect br

Pupa Corp. 19 Sep 13, 2021
Codebase for Image Classification Research, written in PyTorch.

pycls pycls is an image classification codebase, written in PyTorch. It was originally developed for the On Network Design Spaces for Visual Recogniti

Facebook Research 1.8k Jan 12, 2022
Implementation of the Remixer Block from the Remixer paper, in Pytorch

Remixer - Pytorch Implementation of the Remixer Block from the Remixer paper, in Pytorch. It claims that substituting the feedforwards in transformers

Phil Wang 35 Jan 21, 2022
🌎 The Modern Declarative Data Flow Framework for the AI Empowered Generation.

🌎 JSONClasses JSONClasses is a declarative data flow pipeline and data graph framework. Official Website: https://www.jsonclasses.com Official Docume

Fillmula Inc. 52 Jan 10, 2022
Implementation of Heterogeneous Graph Attention Network

HetGAN Implementation of Heterogeneous Graph Attention Network This is the code repository of paper "Prediction of Metro Ridership During the COVID-19

5 Dec 27, 2021
[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

Self-paced Contrastive Learning (SpCL) The official repository for Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID

Yixiao Ge 245 Feb 01, 2022
a Lightweight library for sequential learning agents, including reinforcement learning

SaLinA: SaLinA - A Flexible and Simple Library for Learning Sequential Agents (including Reinforcement Learning) TL;DR salina is a lightweight library

Facebook Research 364 Jan 20, 2022
This repository is for our EMNLP 2021 paper "Automated Generation of Accurate & Fluent Medical X-ray Reports"

Introduction: X-Ray Report Generation This repository is for our EMNLP 2021 paper "Automated Generation of Accurate & Fluent Medical X-ray Reports". O

no name 12 Jan 14, 2022
Creating a Linear Program Solver by Implementing the Simplex Method in Python with NumPy

Creating a Linear Program Solver by Implementing the Simplex Method in Python with NumPy Simplex Algorithm is a popular algorithm for linear programmi

Reda BELHAJ 1 Jul 12, 2021
Simple improvement of VQVAE that allow to generate x2 sized images compared to baseline

vqvae_dwt_distiller.pytorch Simple improvement of VQVAE that allow to generate x2 sized images compared to baseline. It allows to generate 512x512 ima

Sergei Belousov 19 Dec 24, 2021
Source code for paper "ATP: AMRize Than Parse! Enhancing AMR Parsing with PseudoAMRs" @NAACL-2022

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs Hi this is the source code of our paper "ATP: AMRize Then Parse! Enhancing AMR Parsing w

Chen Liang 10 May 05, 2022
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

682 Feb 06, 2022
A highly efficient, fast, powerful and light-weight anime downloader and streamer for your favorite anime.

AnimDL - Download & Stream Your Favorite Anime AnimDL is an incredibly powerful tool for downloading and streaming anime. Core features Abuses the dev

KR 246 Jan 13, 2022
PyTorch implementation for the visual prior component (i.e. perception module) of the Visually Grounded Physics Learner [Li et al., 2020].

VGPL-Visual-Prior PyTorch implementation for the visual prior component (i.e. perception module) of the Visually Grounded Physics Learner (VGPL). Give

Toru 7 Oct 19, 2021
Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.

GraphMask This repository contains an implementation of GraphMask, the interpretability technique for graph neural networks presented in our ICLR 2021

Michael Schlichtkrull 25 Dec 24, 2021
Transformer model implemented with Pytorch

transformer-pytorch Transformer model implemented with Pytorch Attention is all you need-[Paper] Architecture Self-Attention self_attention.py class

Mingu Kang 12 Nov 15, 2021
The Malware Open-source Threat Intelligence Family dataset contains 3,095 disarmed PE malware samples from 454 families

MOTIF Dataset The Malware Open-source Threat Intelligence Family (MOTIF) dataset contains 3,095 disarmed PE malware samples from 454 families, labeled

Booz Allen Hamilton 84 Jan 13, 2022
PyTorch implementation of VAGAN: Visual Feature Attribution Using Wasserstein GANs

Prototypical Networks for Few shot Learning in PyTorch Simple alternative Implementation of Prototypical Networks for Few Shot Learning (paper, code)

Orobix 91 Dec 16, 2021
This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization

Spherical Gaussian Optimization This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization. This code has b

17 Oct 27, 2021