Rollout Efficiency in Reinforcement Learning for Reasoning Large Language Models: A Taxonomy and Future Directions
arXiv:2609.25463v1 Announce Type: new Abstract: Reasoning-oriented reinforcement learning enables large language models to solve mathematical, coding, and other multi-step tasks, but shifts a substantial portion of the training cost to rollout, where trajectories are generated…
- 01.arXiv:2609.25463v1 Announce Type: new Abstract: Reasoning-oriented reinforcement learning enables large language models to solve mathematical, coding, and other multi-step tasks, but shifts a substantial portion of the training cost to rollout, where trajectories are generated…
This material is provided as an extended analytical summary.
Read full article at sourceRelated Intelligence
All stories →OpenAI представила четыре выдающихся научных результата, полученных с помощью собственной экспериментальной ИИ-модели...
OpenAI представила четыре выдающихся научных результата, полученных с помощью собственной экспериментальной ИИ-модели, которая до сих пор остаётся недоступной широкой публике. 1. Математика. Модели удалось доказать гипотезу Какеи во всех размерностях. Прежде математики…
OpenAI unveils AI-powered personal assistant dots
OpenAI introduces new personal assistant dots running in the background
OpenAI unveiled GPT-6.1 Terra, with the new model's cost turning out significantly lower than expected.
OpenAI unveiled GPT-6.1 Terra, with the new model's cost turning out significantly lower than expected. API usage pricing: > $1 per million input tokens. > $5 per million output tokens. > $0.05 per million cached input tokens. Thus, GPT-6.1…