r/reinforcementlearning↗
Reinforcement Learning
Reinforcement learning is a subfield of AI/statistics focused on exploring/understanding complicated environments and learning how to optimally acquire rewards. Examples are AlphaGo, clinical trials & A/B tests, and Atari game playing.
92k subscribers193 posts / mo in Sep 2026 (incl. ~1% by known bots)137 authors / mosince 2012
r/reinforcementlearning has 92k members (+29% over the last 12 months). It gets about 193 posts a month from 137 people. Top topics: Algorithmic Trading, LLMs and AGI Progress and OpenAI Updates.
When to post on r/reinforcementlearning
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How r/reinforcementlearning has grown
Subscriber growth
Subscribers over time
Monthly activity
Posts, comments and authors per month
Topics and brands on r/reinforcementlearning
Top topics
Share of the subreddit's posts
- Algorithmic Trading0.5%
- LLMs and AGI Progress0.5%
- OpenAI Updates0.5%
- AI Research Papers0.3%
- Go Competitions0.2%
Brands people mention
Most-mentioned brands and sites, last 12 months
- arXiv.org e-Print archive
- Hugging Face
- Openai
- Medium
- Substack
Everything else about r/reinforcementlearning
Posting rules and account requirements, how often posts get removed, who writes here (age, gender, countries), what people ask for, how they talk, and related subreddits — all in the full report.
Posts and activity for Sep 2026. Members from Reddit's subscriber counts. Read from the same data the app runs on. Our research