Jul 2026
Nonparametric Bayesian Inverse Reinforcement Learning with Data-Parallel Gibbs Sampling
Nonparametric Bayesian Inverse Reinforcement Learning with a Dirichlet Process prior over reward functions is implemented, allowing the number of latent reward types to be inferred jointly with the rewards themselves.
Sai Anirudh Katupilla, Shreeya Dasa Lakshminath
· arXiv.org · 0 citations