Shortcuts and Boundaries: Verifiable RL Misalignment and Safety
Researchers study reward-driven reinforcement learning misalignment through verifiable reward-context conflicts and execution shortcuts.
Researchers study reward-driven reinforcement learning misalignment through verifiable reward-context conflicts and execution shortcuts.