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cs.CR2025
Improving LLM Agents with Reinforcement Learning on Cryptographic CTF Challenges
Lajos Muzsai, David Imolai, András Lukács
We present 'Random-Crypto', a procedurally generated cryptographic Capture The Flag (CTF) dataset designed to unlock the potential of Reinforcement Learning (RL) for LLM-based agen…
stat.CO2025
: A Python package implementing Whittle's likelihood estimation of the Hurst exponent
Bálint Csanády, Lóránt Nagy, András Lukács
This paper presents , a Python package implementing Whittle's likelihood method for estimating the Hurst exponent in fractional Brownian motion (fBm). While the theor…