9 papers
Enhancing LLM Problem Solving via Tutor-Student Multi-Agent Interaction
Nurullah Eymen Ãzdemir, Erhan Oztop
Human cognitive development is shaped not only by individual effort but by structured social interaction, where role-based exchanges such as those between a tutor and a learner, en…
Forecasting in Offline Reinforcement Learning for Non-stationary Environments
Suzan Ece Ada, Georg Martius, Emre Ugur +1
Offline Reinforcement Learning (RL) provides a promising avenue for training policies from pre-collected datasets when gathering additional interaction data is infeasible. However,…
TRUST 2025: SCRITA and RTSS @ RO-MAN 2025
Alessandra Rossi, Patrick Holthaus, Gabriella Lakatos +5
The TRUST workshop is the result of a collaboration between two established workshops in the field of Human-Robot Interaction: SCRITA (Trust, Acceptance and Social Cues in Human-Ro…
Sample Efficient Robot Learning in Supervised Effect Prediction Tasks
Mehmet Arda Eren, Erhan Oztop
In self-supervised robotic learning, agents acquire data through active interaction with their environment, incurring costs such as energy use, human oversight, and experimental ti…
TransAdapter: Vision Transformer for Feature-Centric Unsupervised Domain Adaptation
A. Enes Doruk, Erhan Oztop, Hasan F. Ates
Unsupervised Domain Adaptation (UDA) aims to utilize labeled data from a source domain to solve tasks in an unlabeled target domain, often hindered by significant domain gaps. Trad…
Context-Based Echo State Networks with Prediction Confidence for Human-Robot Shared Control
Negin Amirshirzad, Mehmet Arda Eren, Erhan Oztop
In this paper, we propose a novel lightweight learning from demonstration (LfD) model based on reservoir computing that can learn and generate multiple movement trajectories with p…