zhoubolei/introRL resource
Intro to Reinforcement Learning (强化学习纲要） observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2364
- days_rel: n/a
- days_push: 2230
- n_releases_24m: 0
Adoption not part of the score
3595 stars · 498 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
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
learning-resource · maturity maintenance
machine-learning reinforcement-learning documentation reinforcement-learning machine-learning education tutorials cross-platform lecture-slides video-course reinforcement-learning open-courseware
1 source
- readme: https://github.com/zhoubolei/introRL · fetched 2026-08-28 · 3810f864430a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| zhoubolei/introRL | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="zhoubolei/introRL")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem