Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models

The correct specification of reward models is a well-known challenge in reinforcement learning. Hand-crafted reward functions often lead to inefficient or suboptimal policies and may not be aligned with user values. Reinforcement learning from human feedback is a successful technique that can mitiga...

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Hauptverfasser:	Lin, Muhan, Shi, Shuyang, Guo, Yue, Chalaki, Behdad, Tadiparthi, Vaishnav, Pari, Ehsan Moradi, Stepputtis, Simon, Campbell, Joseph, Sycara, Katia
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence
Online-Zugang:	Volltext bestellen
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