Alternatives and similar repositories for course-content

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

• gerdm / reinforcement-learning
  Repository of notes, code and notebooks in Python for the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew …
  ☆35Updated 2 months ago
• facebookresearch / Lyapunov
  PyTorch original implementation of "Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers" (…
  ☆77Updated 9 months ago
• VachanVY / Reinforcement-Learning
  PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research …
  ☆203Updated 2 months ago
• milarobotlearningcourse / robot_learning_2025
  ☆10Updated 2 months ago
• goncalog / ai-robotics
  AI Robotics tutorials for hobbyists
  ☆103Updated 7 months ago
• kvfrans / lmpo
  ☆118Updated last week
• habanoz / reinforcement-learning-an-introduction
  Solutions to Sutton and Barto book exercises
  ☆109Updated last year
• jacob-zietek / awesome-world-models-manipulation
  Awesome world models for manipulation
  ☆51Updated last year
• berkeleydeeprlcourse / homework_fall2023
  ☆278Updated 11 months ago
• tsmatz / reinforcement-learning-tutorials
  Reinforcement Learning Algorithms Tutorial (Python) from scratch (Mar 2021)
  ☆201Updated this week
• rvl-lab-utoronto / lab_onboarding_recommended_reading
  This repository is a collection of papers and research material that students need to be aware of when they are getting started with rese…
  ☆78Updated last year
• tallamjr / stanford-cs234
  Stanford CS234 : Reinforcement Learning
  ☆167Updated 6 years ago
• probml / ssm-book
  Interactive textbook on state-space models
  ☆198Updated last year
• AndreasBergmeister / pjax
  A projection-based framework for gradient-free and parallel learning
  ☆106Updated 4 months ago
• ksang / cs234-assignments
  Stanford CS234: Reinforcement Learning assignments and practices
  ☆60Updated last year
• andyzeng / andyzeng.github.io
  ☆51Updated 2 weeks ago
• araffin / rlss23-dqn-tutorial
  Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023
  ☆84Updated last month
• alxthm / rl-cheatsheet
  A summary of important concepts and algorithms in RL
  ☆44Updated 3 years ago
• seohongpark / horizon-reduction
  The official implementation of "Horizon Reduction Makes RL Scalable"
  ☆155Updated 3 months ago
• tsmatz / imitation-learning-tutorials
  Imitation Learning Algorithms Tutorial (Python) from scratch
  ☆66Updated 2 months ago
• frankaging / awesome-ai-research-intern-list
  List of AI Internships
  ☆128Updated 2 years ago
• lucidrains / evolutionary-policy-optimization
  Pytorch implementation of Evolutionary Policy Optimization, from Wang et al. of the Robotics Institute at Carnegie Mellon University
  ☆102Updated last month
• berkeleydeeprlcourse / homework_fall2022
  Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
  ☆128Updated 2 years ago
• anhOfTheStars / RLStudyGuide
  How to Learn Reinforcement Learning: A Step-by-step Guide
  ☆72Updated 5 years ago
• EzgiKorkmaz / adversarial-reinforcement-learning
  Reading list for adversarial perspective and robustness in deep reinforcement learning.
  ☆126Updated 3 months ago
• prototwin / RLExamples
  PotoTwin Reinforcement Learning Examples
  ☆36Updated 2 months ago
• RyanNavillus / Syllabus
  Synchronized Curriculum Learning for RL Agents
  ☆114Updated 2 months ago
• nzolman / sindy-rl
  Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.
  ☆140Updated 2 months ago
• Swapnil-Gandhi / SoP-Template
  LaTeX Template for Statement of Purpose (SoP)
  ☆126Updated 3 years ago
• marl-book / slides
  Lecture slides for the MARL book (www.marl-book.com)
  ☆136Updated 5 months ago