reinforcement learning education/course
An open course with Jupyter notebook labs teaching practical deep reinforcement learning.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Choose for a recently maintained university RL course with video lectures and solutions instead of the seed's notebook-centric assignments.
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose for an older slide-based deep RL curriculum if you don't need maintained notebooks; last updated 3.8 years ago.
Deep Reinforcement Learning
Choose for textbook algorithm implementations to supplement a course; lacks lecture/assignment structure and hasn't been updated in 2+ years.
Python Implementation of Reinforcement Learning: An Introduction
These projects were analysed and named Practical_RL among their alternatives. The relationship is not symmetric — how Practical_RL rates them is a separate judgement, made when Practical_RL is analysed in its own right.
calls Practical_RL “Choose it for a more academic, from-scratch Jupyter course under the Unlicense.”
This repo contains the Hugging Face Deep Reinforcement Learning Course.
calls Practical_RL “Another complete RL course; pick if you prefer a code-first, notebook-driven curriculum over the seed's lecture/video format.”
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
calls Practical_RL “Narrower: RL-only course; choose if you specifically need reinforcement learning.”
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
calls Practical_RL “choose for a dedicated hands-on deep RL course instead of a broad DL overview.”
Tutorials, assignments, and competitions for MIT Deep Learning related courses.