RLTL;DR: Self-Improvement by Internalizing Self-Generated Feedback
这条英文动态主要涉及智能体工作流、模型能力与工程、教育应用。原文要点：The common paradigm of reinforcement learning with verifiable rewards (RLVR) is to let agents make multiple attempts at a task, and optimize towards the successful ones. This becomes problematic in the realms of self-improvement, where tasks are so difficult that the agent has a low or even no chance of success, and where there are no teacher models or example solutions to distill from. In this paper, we introduce RL...
推荐理由：来自Apple Machine Learning Research的《RLTL;DR: Self-Improvement by Internalizing Self-Generated Feedback》。重点看智能体工作流、模型能力与工程、教育应用。摘要提到：这条英文动态主要涉及智能体工作流、模型能力与工程、教育应用。原文要点：The common paradigm of reinforcement learning with verifiable rewards (RLVR) is to let agents make multiple attempts at a task, and optimize towards the successful ones. This becomes problematic in the realms of self-improvement, where tasks are so difficult that the agent has a low or even no chance of success, and where there are no teacher models or example solutions to distill f...