Policy optimization
Part of Reinforcement learning
Policy optimization is holding steady in AI research: 0.2% to 0.1% of new AI papers, 0.0 points. As of Oct 10, 2026.
- Change in share
- 0.0 pts
- Share, last 3 months
- 0.1%
- Papers, last 3 months
- 25
- 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 ptsHierarchical reinforcement learning0.1% → 0.1%+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 pts
Policy optimization: quick answers
No. Its share of new AI papers went from 0.2% to 0.1%, with 25 papers in the last 3 months.