General Information
As of February 8, 2024
r/reinforcementlearning
Reinforcement Learning
en
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.
This is for any reinforcement learning related work ranging from purely computational RL in artificial intelligence to the models of RL in neuroscience.
The standard introduction to RL is Sutton & Barto's Reinforcement Learning.
Related subred...
36,750
March 2, 2012
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Restricted Submissions
Community Reviewed
Total Submissions
12,575
Total Comments
48,326
Earliest Submission
March 2, 2012
Earliest Comment
March 2, 2012
Metrics
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Submission Score Distribution
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Most Distinctive Words
Year
2024
Total Words in Subreddit
1,006,598
Total Words in Reddit
119,924,722,855
Rank↕ | Word↕ | Occurrences in Subreddit | Total Occurrences | Rate in Subreddit (per 1M words) | Rate in Reddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|---|
| #1 | 1,487 | 46,801 | 1477.3 | 0.4 | 3785.37 | |
| #2 | 1,013 | 50,279 | 1006.4 | 0.4 | 2400.35 | |
| #3 | 471 | 37,081 | 467.9 | 0.3 | 1513.29 | |
| #4 | 170 | 15,064 | 168.9 | 0.1 | 1344.50 | |
| #5 | 435 | 40,115 | 432.1 | 0.3 | 1291.92 | |
| #6 | 189 | 18,106 | 187.8 | 0.2 | 1243.63 | |
| #7 | 134 | 15,508 | 133.1 | 0.1 | 1029.44 | |
| #8 | 5,536 | 642,444 | 5499.7 | 5.4 | 1026.63 | |
| #9 | 168 | 19,946 | 166.9 | 0.2 | 1003.47 | |
| #10 | 1,488 | 184,094 | 1478.2 | 1.5 | 962.98 | |
| #11 | 251 | 33,198 | 249.4 | 0.3 | 900.77 | |
| #12 | 109 | 15,011 | 108.3 | 0.1 | 865.11 | |
| #13 | 159 | 26,449 | 158.0 | 0.2 | 716.21 | |
| #14 | 395 | 67,787 | 392.4 | 0.6 | 694.23 | |
| #15 | 363 | 63,727 | 360.6 | 0.5 | 678.63 | |
| #16 | 1,467 | 275,192 | 1457.4 | 2.3 | 635.11 | |
| #17 | 99 | 19,187 | 98.4 | 0.2 | 614.72 | |
| #18 | 222 | 45,881 | 220.5 | 0.4 | 576.46 | |
| #19 | 284 | 61,334 | 282.1 | 0.5 | 551.66 | |
| #20 | 155 | 35,668 | 154.0 | 0.3 | 517.73 | |
| #21 | 168 | 39,781 | 166.9 | 0.3 | 503.14 | |
| #22 | 1,007 | 252,047 | 1000.4 | 2.1 | 475.99 | |
| #23 | 85 | 21,387 | 84.4 | 0.2 | 473.50 | |
| #24 | 131 | 37,845 | 130.1 | 0.3 | 412.40 | |
| #25 | 135 | 40,871 | 134.1 | 0.3 | 393.52 | |
| #26 | 76 | 23,964 | 75.5 | 0.2 | 377.84 | |
| #27 | 219 | 71,410 | 217.6 | 0.6 | 365.37 | |
| #28 | 87 | 28,641 | 86.4 | 0.2 | 361.90 | |
| #29 | 55 | 18,543 | 54.6 | 0.2 | 353.37 | |
| #30 | 402 | 137,184 | 399.4 | 1.1 | 349.12 | |
| #31 | 533 | 191,481 | 529.5 | 1.6 | 331.63 | |
| #32 | 129 | 46,460 | 128.2 | 0.4 | 330.80 | |
| #33 | 100 | 36,199 | 99.3 | 0.3 | 329.12 | |
| #34 | 63 | 23,611 | 62.6 | 0.2 | 317.89 | |
| #35 | 41 | 15,542 | 40.7 | 0.1 | 314.29 | |
| #36 | 96 | 36,524 | 95.4 | 0.3 | 313.15 | |
| #37 | 51 | 20,612 | 50.7 | 0.2 | 294.78 | |
| #38 | 107 | 43,959 | 106.3 | 0.4 | 289.99 | |
| #39 | 81 | 33,402 | 80.5 | 0.3 | 288.91 | |
| #40 | 182 | 76,996 | 180.8 | 0.6 | 281.62 | |
| #41 | 48 | 20,407 | 47.7 | 0.2 | 280.23 | |
| #42 | 132 | 59,187 | 131.1 | 0.5 | 265.71 | |
| #43 | 1,024 | 476,251 | 1017.3 | 4.0 | 256.16 | |
| #44 | 39 | 18,375 | 38.7 | 0.2 | 252.87 | |
| #45 | 35 | 16,496 | 34.8 | 0.1 | 252.78 | |
| #46 | 34 | 16,588 | 33.8 | 0.1 | 244.20 | |
| #47 | 45 | 21,987 | 44.7 | 0.2 | 243.84 | |
| #48 | 46 | 22,523 | 45.7 | 0.2 | 243.32 | |
| #49 | 187 | 93,533 | 185.8 | 0.8 | 238.19 | |
| #50 | 317 | 159,967 | 314.9 | 1.3 | 236.09 |
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