Hierarchical reinforcement learning
Part of Reinforcement learning
Hierarchical reinforcement learning is gaining ground in AI research: 0.1% to 0.1% of new AI papers, +0.0 points. It ranks #116 of 214 by gain in share. As of Oct 10, 2026.
- Change in share
- +0.0 pts
- Share, last 3 months
- 0.1%
- Papers, last 3 months
- 35
- Ready for products
- 2.2 / 5
More in Reinforcement learning
Credit assignment0.3% → 0.4%+0.0 ptsCurriculum reinforcement learning0.1% → 0.1%+0.0 ptsGroup relative policy optimization0.1% → 0.2%+0.0 ptsModel based reinforcement learning0.1% → 0.2%+0.0 ptsConstrained markov decision processe0.0% → 0.0%0.0 ptsProximal policy optimization0.0% → 0.0%0.0 ptsPrioritized experience replay0.0% → 0.0%0.0 ptsModel based planning0.0% → 0.0%0.0 ptsAction chunking0.0% → 0.0%0.0 ptsEntropy regularization0.1% → 0.0%0.0 pts
Hierarchical reinforcement learning: quick answers
Yes. Its share of new AI papers went from 0.1% to 0.1%, with 35 papers in the last 3 months.