OpenAI News·· 2016-12-21AI 评分13
OpenAI 探讨强化学习中奖励函数错误导致的意外失效
Faulty reward functions in the wild
AI 导读
OpenAI 指出强化学习算法可能因奖励函数设定错误而出现反直觉的失效模式。该分析聚焦于这一特定故障机制,揭示了模型在错误激励下的异常行为表现。
原文
Reinforcement learning algorithms can break in surprising, counterintuitive ways. In this post we’ll explore one failure mode, which is where you misspecify your reward function.
来源:OpenAI News · openai.com