Author

Igor Gilitschenski

3 papers indexed here

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Preprint Oct 2026

Post-Training, Finetuning, and Steering:A Field Guide for Curating Training Data

While Vision-Language-Action models have enabled impressive cross-task transfer in zero-shot settings, \emph{adaptation} methods are often necessary to achieve consistent performance on novel tasks. However, even though a wealth of methods for adaptation have been proposed, it is unclear how to choose the best method b...

Maria Attarian, Yi-Fan Ruan, Claas A Voelcker et al. · 0 citations

#machine learning Preprint Oct 2026

RH-Detect: A Unified Benchmark for Reward Hacking Detection

Reward hacking, where a model exploits an evaluation signal without completing the intended task, threatens the reliability of deployed language model systems. Existing datasets use different labels, response formats, and metadata conventions, making detector results difficult to compare. We present RH-Detect, a benchm...

Jun-Wei Quan, E. Opryshko, Rohan Subramani et al. · 1 citation

#machine learning Preprint Oct 2026

World-Model Policy Arbiter for Goal-Conditioned Reinforcement Learning

Offline goal-conditioned reinforcement learning (GCRL) has produced a diverse set of goal-reaching algorithms, yet no single algorithm performs best across environments, goals, and even different phases of the same task. Rather than deploying only the best-performing policy, we ask whether a set of frozen goal-conditio...

Jun-Wei Quan, E. Opryshko, Nicholas Rhinehart et al. · 0 citations