Publications

2026

  1. Beyond Static Graph World Models: Learning Stochastic Latent Dynamics over Evolving Topologies
    Alex Schutz, Nick Hawes, and Victor-Alexandru Darvariu
    arXiv preprint arXiv:2609.28670, 2026
    PDF
  2. Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning
    Alex Schutz, Victor-Alexandru Darvariu, Efimia Panagiotaki, and 2 more authors
    TMLR, 2026
    PDF
  3. Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics
    Yang You, Alex Schutz, Zhikun Li, and 3 more authors
    In AAAI, 2026
    PDF
  4. Neural Value Iteration
    Yang You, Ufuk Çakır, Alex Schutz, and 1 more author
    arXiv preprint arXiv:2511.08825, 2026
    PDF

2025

  1. A Finite-State Controller Based Offline Solver for Deterministic POMDPs
    Alex Schutz, Yang You, Matı́as Mattamala, and 3 more authors
    In IJCAI, 2025
    PDF Poster
  2. AutoInspect: Towards Long-Term Autonomous Inspection and Monitoring
    Michal Staniaszek, Tobit Flatscher, Joseph Rowell, and 8 more authors
    IEEE Transactions on Field Robotics, 2025
  3. Partially Observable Monte-Carlo Graph Search
    Yang You, Vincent Thomas, Alex Schutz, and 3 more authors
    In International Conference on Automated Planning and Scheduling, 2025
    PDF