MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)
Published January 24, 2019
At a glance
Views
372,555
Likes
6,807
Comments
150
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
First lecture of MIT course 6.S091: Deep Reinforcement Learning, introducing the fascinating field of Deep RL. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo. …
- Published
- January 24, 2019
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL) is doing
It has 372K views in total. It ranks #7,873,622 among tracked YouTube videos by views.
Key facts about MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)
- Total views
- 372K
- Total likes
- 6.80K
- Total comments
- 150
- Published
- January 24, 2019
- Global rank by views
- #7,873,622
Frequently asked questions
How many views does MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL) have?
MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL) has 372,555 views, 6,807 likes and 150 comments, ranking #7,873,622 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.