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cs.LG2026
Gradient Routing Localizes and Removes Unintended Behaviors in RL
Jake Ward, Shawn Hu, Aria Wong +4
We propose a mitigation to reward hacking in reinforcement learning. Our setup involves a misspecified reward function that gives rise to unintended behavior, and a monitor used to…
cs.LG2026
Modular Pretraining Enables Access Control
Ethan Roland, Murat Cubuktepe, Erick Martinez +8
AI developers face a dual-use dilemma. An AI capability that helps one user cure a disease can help another synthesize one. This dilemma could be resolved with access control, limi…