Reinforcement Learning for Reasoning LLMs: Understanding Trust Region Policy Optimization
中文摘要
本文探讨了如何利用强化学习中的置信域策略优化（TRPO）来增强大语言模型的推理能力。
English Summary
This article explores how Reinforcement Learning, specifically Trust Region Policy Optimization, enhances the reasoning capabilities of large language models.
Original Excerpt
In recent years, with the development of large language models (LLMs) with reasoning capabilities, Reinforcement Learning (RL) has once… Continue reading on Medium »