Reproduce “Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter” on OpenResearch

Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.

Universal app for Apple silicon and Intel. Requires macOS 11 or later.

About this paper

Ruben Villarreal, Nikolaos N. Vlassis, Nhon N. Phan, Tommie A. Catanach, Reese E. Jones, Nathaniel A. Trask, Sharlotte L.B. Kramer, WaiChing Sun

Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.