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
5,225
Total Mentions
1,880
Posts mentioning Trend
224
Companies Mentioning
1,861
Most mentions in a year
| Year | Mentions | Posts | Companies | YoY Change |
|---|---|---|---|---|
| 2026 (projected) 280/365d | ~1,294 993 actual | ~684 525 actual | 124 | Forecast -30.5% |
| 2025 | 1,861 | 711 | 146 | +63.7% |
| 2024 | 1,137 | 288 | 83 | +17.8% |
| 2023 | 965 | 255 | 67 | +561.0% |
| 2022 | 146 | 68 | 26 | +18.7% |
| 2021 | 123 | 33 | 11 | +232.4% |