collaborators

5 papers

cs.AI2026

Grounded Joint-Attention Other-Play for Zero-Shot Coordination

Giulia Benintendi, Constantin Ruhdorfer, Fabian Kögel +1

Joint attention - the human ability to share a common visual or cognitive focus with others - enables a meeting of minds that lets us coordinate even with unfamiliar partners. In t…

cs.LG2025

High entropy leads to symmetry-equivariant policies in Dec-POMDPs

Johannes Forkel, Constantin Ruhdorfer, Michael Beukman +2

We prove that in any Dec-POMDP, sufficiently high entropy regularization ensures that the policy gradient flow with tabular softmax parametrization always converges, for any initia…

cs.CL2025

ToM-SSI: Evaluating Theory of Mind in Situated Social Interactions

Matteo Bortoletto, Constantin Ruhdorfer, Andreas Bulling

Most existing Theory of Mind (ToM) benchmarks for foundation models rely on variations of the Sally-Anne test, offering only a very limited perspective on ToM and neglecting the co…

cs.AI2025

The Yokai Learning Environment: Tracking Beliefs Over Space and Time

Constantin Ruhdorfer, Matteo Bortoletto, Johannes Forkel +2

The ability to cooperate with unknown partners is a central challenge in cooperative AI and widely studied in the form of zero-shot coordination (ZSC), which evaluates an algorithm…

cs.LG2025

Unsupervised Partner Design Enables Robust Ad-hoc Teamwork

Constantin Ruhdorfer, Matteo Bortoletto, Victor Oei +2

We introduce Unsupervised Partner Design (UPD), a population-free multi-agent reinforcement learning method for robust ad-hoc teamwork. UPD generates training partners on-the-fly a…