Publications

Also check my Google Scholar, since I might not always keep this list up-to-date.
  • General Value Discrepancies Mitigate Partial Observability in Reinforcement Learning.
    P. Koepernik*, R.Y. Tao*, R. Parr, G. Konidaris, C. Allen. RLC Finding the Frame Workshop, 2025.
    [talk]
  • The Brownian Spatial Coalescent.
    P. Koepernik. arXiv, 2024.
    [link] [pdf] [talk]
  • On a repulsion-diffusion equation with immigration.
    P. Koepernik. Discrete and Continuous Dynamical Systems, 2024.
    [link] [pdf]
  • Dimension results and local times for superdiffusions on fractals.
    B. Hambly, P. Koepernik*. Stochastic Processes and their Applications, 2023.
    [link] [pdf]
  • Consistency of Gaussian Process Regression in Metric Spaces.
    P. Koepernik, F. Pfaff. Journal of Machine Learning Research, 2021.
    [link] [pdf]

*Main contributor(s). In mathematical publications, authors are always ordered alphabetically.