2 citations · 3 across the 3 of their papers we have counts for
5 papers
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,…
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…
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…
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics
Frank Röder, Manfred Eppe, Stefan Wermter
This paper focuses on robotic reinforcement learning with sparse rewards for natural language goal representations. An open problem is the sample-inefficiency that stems from the c…
Curious Hierarchical Actor-Critic Reinforcement Learning
Frank Röder, Manfred Eppe, Phuong D. H. Nguyen +1
Hierarchical abstraction and curiosity-driven exploration are two common paradigms in current reinforcement learning approaches to break down difficult problems into a sequence of…