# zhoubolei/introRL

Intro to Reinforcement Learning (强化学习纲要）

Repository: https://github.com/zhoubolei/introRL
Canonical: https://ross.abutalabs.com/products/introrl
License: MIT
License Family: permissive
Last push: 2020-07-25T03:09:30+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2364, "days_push": 2230, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3595, forks 498 (observed 2026-08-28T04:08:11.318245+00:00)

## What it is
An open introductory course on reinforcement learning by Boley Zhou, consisting of 10 lectures with English slides and Mandarin video lectures hosted on YouTube and Bilibili. The repository serves as a hub for the course schedule, slides, and video links.

## Use cases
- learn reinforcement learning from scratch
- find lecture slides on Markov decision processes
- study policy optimization and value function approximation
- watch a free RL course in Mandarin
- review model-based RL and imitation learning basics

## When to choose
- you want a structured, beginner-friendly introduction to RL
- you prefer video lectures paired with slides
- you understand Mandarin and want explanations in Chinese

## When to avoid
- you need hands-on coding exercises or assignments
- you need up-to-date content covering recent RL research
- you only understand English, since lectures are in Mandarin

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, reinforcement-learning, documentation
- domain: reinforcement-learning, machine-learning, education, tutorials
- platform: cross-platform
- tags: lecture-slides, video-course, reinforcement-learning, open-courseware

## Member repositories
- zhoubolei/introRL (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:11.318245+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:33:48.776413+00:00, confidence not recorded.
  - readme: https://github.com/zhoubolei/introRL (fetched 2026-08-28T04:08:11.318245+00:00, sha 3810f864430a)
- Data as of 2026-08-30T08:39:29.467469+00:00.