Alternatives and similar repositories for rl-course

Users that are interested in rl-course are comparing it to the libraries listed below

• FarnazAdib / Crash_course_on_RL
  This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
  ☆83Updated last year
• IbrahimSobh / Practical-DRL
  This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsob…
  ☆99Updated 5 years ago
• Hadar933 / Intro-to-Deep-Learning
  Lecture notes & Exercises
  ☆46Updated 3 years ago
• sebtheiler / tutorials
  All of the code for my Medium articles
  ☆135Updated 4 years ago
• ift6758 / ift6758.github.io
  ☆24Updated 3 years ago
• hzm2016 / sources-of-reinforcement-learning
  All the source codes and lectures of reinforcement learning.
  ☆33Updated 5 years ago
• nassma2019 / PracticalSessions
  NASSMA summer school practicals
  ☆18Updated 6 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆91Updated 7 years ago
• QasimWani / policy-value-methods
  Deep Reinforcement Learning algorithms for Policy Value methods written from scratch.
  ☆23Updated 5 years ago
• angary / simulated-annealing-tsp
  Parameterising Simulated Annealing for the Travelling Salesman Problem
  ☆60Updated 5 months ago
• bhattbhavesh91 / auto-regressive-time-series-model
  Implementing Time Series Auto Regressive Model (AR Model) from Scratch in Python
  ☆15Updated 4 years ago
• rohan-paul / Deep-Learning-Paper-Implementation
  From Scratch Implementation of some popular Deep Learning Papers with PyTorch and Tensorflow
  ☆18Updated 2 years ago
• PacktPublishing / PyTorch-1.x-Reinforcement-Learning-Cookbook
  PyTorch 1.x Reinforcement Learning Cookbook, published by Packt
  ☆101Updated 3 years ago
• Apress / deep-reinforcement-learning-python
  Source Code for 'Deep Reinforcement Learning with Python' by Nimish Sanghi
  ☆49Updated 3 years ago
• jorditorresBCN / Deep-Reinforcement-Learning-Explained
  ☆92Updated 4 years ago
• muaz-urwa / PCA-vs-AutoEncoders
  ☆25Updated 6 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆181Updated 4 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆95Updated 3 years ago
• firmai / reddit-data-science-project-ideas
  Reddit Data Science Project Ideas
  ☆11Updated 6 years ago
• dataman-git / Handbook-of-anomaly-detection
  ☆20Updated 3 months ago
• linker81 / Reinforcement-Learning-CheatSheet
  Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)
  ☆59Updated 4 years ago
• PacktPublishing / Hands-on-Reinforcement-Learning-with-PyTorch
  Hands-on Reinforcement Learning with PyTorch, published by [Packt]
  ☆57Updated 5 years ago
• Graphlet-AI / graphml-class
  Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
  ☆81Updated last month
• cxbxmxcx / EvolutionaryDeepLearning
  Code and notebook repository for the book Evolutionary Deep Learning by Micheal Lanham
  ☆64Updated 3 years ago
• Puneet2000 / In-Depth-ML
  In depth machine learning resources
  ☆40Updated 7 years ago
• shahrukhx01 / adversarial-ml-101
  A beginner friendly repository for getting started with adversarial machine learning in PyTorch
  ☆25Updated 3 years ago
• cristianleoo / models-from-scratch-python
  Repo where I recreate some popular machine learning models from scratch in Python
  ☆123Updated last week
• paraschopra / deepneuroevolution
  Evolving deep neural network agents using Genetic Algorithms
  ☆69Updated 7 years ago
• philtabor / Reinforcement-Learning-In-Motion
  Code repository for my course on the fundamentals of reinforcement learning
  ☆95Updated 6 years ago
• khanhnamle1994 / deep-reinforcement-learning
  Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning
  ☆57Updated 7 years ago