3 papers
cs.LG2026
Training AI Scientists to Replicate Research
Damon Falck, Samer Sabri, Anja Surina +8
The replicability of papers is a cornerstone of scientific knowledge, ensuring the reliability of existing results and providing a base for further experiments. The act of replicat…
cs.LG2026
Exploration Hacking: Can LLMs Learn to Resist RL Training?
Eyon Jang, Damon Falck, Joschka Braun +6
Reinforcement learning (RL) has become essential to the post-training of large language models (LLMs) for reasoning, agentic capabilities and alignment. Successful RL relies on suf…
cs.LG2022
Trading Off Resource Budgets for Improved Regret Bounds
Damon Falck, Thomas Orton
In this work we consider a variant of adversarial online learning where in each round one picks out of arms and incurs cost equal to the of the costs of…