jekyllstein / Reinforcement-Learning-Sutton-Barto-Exercise-SolutionsLinks
Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and Barto
☆37Updated last week
Alternatives and similar repositories for Reinforcement-Learning-Sutton-Barto-Exercise-Solutions
Users that are interested in Reinforcement-Learning-Sutton-Barto-Exercise-Solutions are comparing it to the libraries listed below
Sorting:
- PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research …☆202Updated 2 months ago
- NYU Course Notes & Resources☆230Updated last year
- Lecture slides for the MARL book (www.marl-book.com)☆133Updated 5 months ago
- Official Github for Wharton STAT 4830☆44Updated 4 months ago
- How to Learn Reinforcement Learning: A Step-by-step Guide☆72Updated 5 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆127Updated last year
- Stanford CS234 : Reinforcement Learning☆167Updated 6 years ago
- A curated list of awesome reinforcement courses, video lectures, books, library and many more.☆49Updated 3 years ago
- ☆135Updated 11 months ago
- A collection of awesome mathematics and computer science courses☆135Updated 10 months ago
- Solutions to Sutton and Barto book exercises☆109Updated last year
- ☆192Updated last week
- Official code repo for the MARL book (www.marl-book.com)☆557Updated 7 months ago
- Deep Reinforcement Learning Hands-On, 3E_Published by Packt☆323Updated last month
- lecture slides for Deepmind x UCL 2021 reinforcement learning course available in YouTbue☆72Updated last year
- Code exercises for the MARL Textbook☆44Updated 4 months ago
- Stanford CS234: Reinforcement Learning assignments and practices☆59Updated last year
- Exploitability calculation for imperfect-information game benchmarks☆31Updated 6 months ago
- Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).☆390Updated 2 years ago
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆544Updated 9 months ago
- Reading list for adversarial perspective and robustness in deep reinforcement learning.☆126Updated 3 months ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆188Updated 2 years ago
- A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.☆531Updated 10 months ago
- Graduate course on Machine Learning☆125Updated 5 years ago
- Awesome Open-ended AI☆359Updated 2 weeks ago
- My solutions to DLFC - Deep Learning: Foundations and Concepts☆91Updated 7 months ago
- ☆61Updated 8 months ago
- Related papers for reinforcement learning, including classic papers and latest papers in top conferences☆496Updated 7 months ago
- RL for total beginners☆102Updated 4 months ago
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆402Updated 6 months ago