Back to the Definition: Estimating Step-Level Advantages via Trajectory Graphs for Agentic Reinforcement Learning
arXiv:2609.28963v1 Announce Type: new Abstract: Group-based reinforcement learning (RL) methods, such as GRPO and its variants, have become a leading paradigm for training reasoning and agentic large language models (LLMs). While their group-normalized advantage estimation is…
- 01.arXiv:2609.28963v1 Announce Type: new Abstract: Group-based reinforcement learning (RL) methods, such as GRPO and its variants, have become a leading paradigm for training reasoning and agentic large language models (LLMs)
- 02.While their group-normalized advantage estimation is…
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…