activity
20242026
most citedAutoInspect: Towards Long-Term Autonomous Industrial Inspection

5 citations · 5 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Beyond Static Graph World Models: Learning Stochastic Latent Dynamics over Evolving Topologies

Alex Schutz, Nick Hawes, Victor-Alexandru Darvariu

Graph-based world models have recently emerged as a means of learning transitions over relational state representations. However, existing approaches are largely limited to fixed-t…

cs.AI2025

Neural Value Iteration

Yang You, Ufuk Çakır, Alex Schutz +1

The value function of a POMDP exhibits the piecewise-linear-convex (PWLC) property and can be represented as a finite set of hyperplanes, known as -vectors. Most state-of-the-ar…

cs.LG2025

Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning

Alex Schutz, Victor-Alexandru Darvariu, Efimia Panagiotaki +2

Neural algorithmic reasoning (NAR) is a paradigm that trains neural networks to execute classic algorithms by supervised learning. Despite its successes, important limitations rema…

cs.AI2025

Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics

Yang You, Alex Schutz, Zhikun Li +3

Many high-level multi-agent planning problems, including multi-robot navigation and path planning, can be effectively modeled using deterministic actions and observations. In this…

cs.AI2025

Partially Observable Monte-Carlo Graph Search

Yang You, Vincent Thomas, Alex Schutz +3

Currently, large partially observable Markov decision processes (POMDPs) are often solved by sampling-based online methods which interleave planning and execution phases. However,…

cs.RO2025

A Finite-State Controller Based Offline Solver for Deterministic POMDPs

Alex Schutz, Yang You, Matias Mattamala +3

Deterministic partially observable Markov decision processes (DetPOMDPs) often arise in planning problems where the agent is uncertain about its environmental state but can act and…

cs.RO2024★ 5 cited

AutoInspect: Towards Long-Term Autonomous Industrial Inspection

Michal Staniaszek, Tobit Flatscher, Joseph Rowell +6

We give an overview of AutoInspect, a ROS-based software system for robust and extensible mission-level autonomy. Over the past three years AutoInspect has been deployed in a varie…