Showing cs.LGShow all
2 papers · 1 filter
cs.LG2024
The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret
Lukas Fluri, Leon Lang, Alessandro Abate +3
In reinforcement learning, specifying reward functions that capture the intended task can be very challenging. Reward learning aims to address this issue by learning the reward fun…
cs.LG2023
Evaluating Superhuman Models with Consistency Checks
Lukas Fluri, Daniel Paleka, Florian Tramèr
If machine learning models were to achieve superhuman abilities at various reasoning or decision-making tasks, how would we go about evaluating such models, given that humans would…