Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic
NeutralArtificial Intelligence
The article discusses the challenges faced by practitioners in reinforcement learning when trying to convert intended behavioral objectives into effective reward functions. It highlights the complexity of achieving multiple competing objectives and critiques the traditional methods that often lead to fragile outcomes.
— Curated by the World Pulse Now AI Editorial System




