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20232026
most citedMultiMediate'24: Multi-Domain Engagement Estimation

7 citations · 9 across the 21 of their papers we have counts for

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7 papers · 1 filter

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★ 1 cited

ProToM: Promoting Prosocial Behaviour via Theory of Mind-Informed Feedback

Matteo Bortoletto, Yichao Zhou, Lance Ying +2

While humans are inherently social creatures, the challenge of identifying when and how to assist and collaborate with others - particularly when pursuing independent goals - can h…

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…

cs.CV2025

VDial: Unification of Video and Visual Dialog via Multimodal Experts

Adnen Abdessaied, Anna Rohrbach, Marcus Rohrbach +1

We present VDial - a novel expert-based model specifically geared towards simultaneously handling image and video input data for multimodal conversational tasks. Current multim…

cs.CV2025

CLAD: Constrained Latent Action Diffusion for Vision-Language Procedure Planning

Lei Shi, Andreas Bulling

We propose CLAD, a Constrained Latent Action Diffusion model for vision-language procedure planning in instructional videos. Procedure planning is the challenging task of predictin…