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
215
Total Mentions
165
Posts mentioning Trend
45
Companies Mentioning
106
Most mentions in a year
| Year | Mentions | Posts | Companies | YoY Change |
|---|---|---|---|---|
| 2026 (projected) 272/365d | ~32 24 actual | ~32 24 actual | 15 | Forecast -23.8% |
| 2025 | 42 | 39 | 20 | +200.0% |
| 2024 | 14 | 13 | 12 | -86.8% |
| 2023 | 106 | 63 | 16 | +457.9% |
| 2022 | 19 | 18 | 7 | +90.0% |
| 2021 | 10 | 8 | 6 | -23.1% |