Johannes A. Stork

APC-RL: Exceeding data-driven behavior priors with adaptive policy composition

Sparse Disentangled VAE for Treatment Effect Estimation with Irrelevant Variables

Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems

KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies in Curiosity-driven Exploration

IO-LVM: Inverse Optimization Latent Variable Models with Graph-based Planning Applications

IO-LVM: Inverse optimization latent variable models with applications to inferring and explaining paths

KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies