AI alignment research defines 'reward hacking' in reinforcement learning

This item discusses the concept of "reward hacking" within reinforcement learning and AI alignment. It poses a question about achieving a target only to find the outcome was incorrect, linking this to Goodhart's Law. The discussion aims to define and characterize this phenomenon. AI

IMPACT Clarifies a key challenge in AI alignment, potentially guiding future research and development of more robust AI systems.

RANK_REASON The item discusses a research concept related to AI alignment and reinforcement learning. [lever_c_demoted from research: ic=1 ai=1.0]

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• AI alignment
• fosstodon.org
• Goodhart's Law
• Mastodon
• reinforcement learning
• reward hacking

• paper
• safety

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