// SUBREDDIT_PROFILE
r/reinforcementlearning
› 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.
// MEMBERS
88,232
› subscribers
// POSTS_INDEXED
276
› analyzed records
// COMMUNITY_AGE
14y
› since 2012-03-02
// STATUS
[ok] active
› feed indexed
// QUICK_ACTIONS
// RELATED_COMMUNITIES
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// FAQ [ 3 entries ]
01 › What is r/reinforcementlearning about? [ expand ↓ ] [ collapse ↑ ]
r/reinforcementlearning is a Reddit community with 88,232 members. 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.
02 › How active is r/reinforcementlearning? [ expand ↓ ] [ collapse ↑ ]
r/reinforcementlearning has 88,232 subscribers and 276 posts in our index. It was created on 2012-03-02, 14 years ago.
03 › Which subreddits are similar to r/reinforcementlearning? [ expand ↓ ] [ collapse ↑ ]
Communities of a comparable size include r/generationjones (88,295 members), r/SouthFlorida (88,279 members), r/escapingprisonplanet (88,278 members), r/blankies (88,274 members). Each is listed with its own subscriber and post counts in the related communities section above.