Reinforcement learning
Reinforcement and preference learning for AI models
Tracked keywords:
reinforcement learning,
reward-based learning,
rlhf,
agent learning via feedback,
preference learning,
fine-tuning loops
2026 (projected): full-year mentions and posts are linear estimates from recorded activity. Company counts and summary totals use recorded activity. Forecast growth compares the estimate with the preceding completed year.
Mentions Over Time
5,159
Total Mentions
1,838
Posts mentioning Trend
222
Companies Mentioning
1,853
Most mentions in a year
| Year | Mentions | Posts | Companies | YoY Change |
|---|---|---|---|---|
| 2026 (projected) 272/365d | ~1,256 936 actual | ~658 490 actual | 122 | Forecast -32.2% |
| 2025 | 1,853 | 705 | 145 | +63.1% |
| 2024 | 1,136 | 287 | 82 | +17.7% |
| 2023 | 965 | 255 | 67 | +561.0% |
| 2022 | 146 | 68 | 26 | +18.7% |
| 2021 | 123 | 33 | 11 | +232.4% |