iamhectorotero/rlai-exercises
Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
This resource provides fully worked-out examples and solutions for the exercises in the textbook 'Reinforcement Learning: An Introduction, 2nd Edition' by Sutton and Barto. It takes the theoretical problems from the book and shows how to arrive at the answers. Anyone studying reinforcement learning concepts from this specific textbook, whether a student or an independent learner, would use this to check their understanding or to get unstuck on challenging problems.
155 stars. No commits in the last 6 months.
Use this if you are actively working through the exercises in 'Reinforcement Learning: An Introduction, 2nd Edition' and need a reference to verify your solutions or understand difficult concepts.
Not ideal if you are looking for a general introduction to reinforcement learning or practical applications outside of the specific context of this textbook.
Stars
155
Forks
37
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 14, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/iamhectorotero/rlai-exercises"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
WilliamLwj/PyXAB
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
jekyllstein/Reinforcement-Learning-Sutton-Barto-Exercise-Solutions
Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and Barto
cfoh/Multi-Armed-Bandit-Example
Learning Multi-Armed Bandits by Examples. Currently covering MAB, UCB, Boltzmann Exploration,...
matteocasolari/reinforcement-learning-an-introduction-solutions
Implementations for solutions to programming exercises of Reinforcement Learning: An...
BY571/Upside-Down-Reinforcement-Learning
Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published...