activity
20132026
most citedIntelligent problem-solving as integrated hierarchical reinforcement learning

93 citations · 130 across the 19 of their papers we have counts for

collaborators

24 papers

cs.LG2026

Dynamics-Aligned Shared Hypernetworks for Contextual RL under Discontinuous Shifts

Jan Benad, Pradeep Kr. Banerjee, Frank Röder +3

Zero-shot generalization in contextual reinforcement learning remains a core challenge, particularly when the context is latent and must be inferred from data. A canonical failure…

cs.LG2025

Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization

Frank Röder, Jan Benad, Manfred Eppe +1

Real-world reinforcement learning demands adaptation to unseen environmental conditions without costly retraining. Contextual Markov Decision Processes (cMDP) model this challenge,…

cs.AI2025

Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style

Debdeep Sanyal, Agniva Maiti, Umakanta Maharana +4

Effective teaching requires adapting instructional strategies to accommodate the diverse cognitive and behavioral profiles of students, a persistent challenge in education and teac…

cs.LG2024

Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research

Jan Dohmen, Frank Röder, Manfred Eppe

One problem with researching cognitive modeling and reinforcement learning (RL) is that researchers spend too much time on setting up an appropriate computational framework for the…

cs.RO2023

NICOL: A Neuro-inspired Collaborative Semi-humanoid Robot that Bridges Social Interaction and Reliable Manipulation

Matthias Kerzel, Philipp Allgeuer, Erik Strahl +4

Robotic platforms that can efficiently collaborate with humans in physical tasks constitute a major goal in robotics. However, many existing robotic platforms are either designed f…

cs.LG2022★ 1 cited

Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action Corrections

Frank Röder, Manfred Eppe

Human-to-human conversation is not just talking and listening. It is an incremental process where participants continually establish a common understanding to rule out misunderstan…