SENSEI - Semantic Exploration Guided by Foundation Models For Learning Versatile World Models

Cansu Sancaktar*, Christian Gumbsch*, Andrii Zadaianchuk, Pavel Kolev & Georg Martius
Preprint, TAFM RLC workshop 2024, *equal contribution
Paper, Website, Video

THICK - Learning Hierarchical World Models with Adaptive Temporal Abstractions

Christian Gumbsch, Noor Sajid, Georg Martius & Martin V. Butz
ICLR 2024 (spotlight, 5%)
Paper, Code, Twitter, Website

Developing Hierarchical Anticipations from Event Segmentation

Christian Gumbsch, Maurits Adam, Birgit Elsner, Georg Martius & Martin V. Butz
IEEE ICDL, 2022 ( SmartBot challenge winner , oral)
Paper, Code, Twitter

Intelligent Problem-Solving as Integrated Hierarchical Reinforcement Learning

Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz & Stefan Wermter
Nature Machine Intelligence, 2022
Paper

GateL0RD - Sparsely Changing Latent States for Prediction and Planning in POMDPs

Christian Gumbsch, Martin V. Butz & Georg Martius
NeurIPS 2021 (26%)
Paper, Code, Twitter

Segmenting Behavioral Primitives from Sensorimotor Exploration for Event-Based Planning

Christian Gumbsch, Martin V. Butz* & Georg Martius*
IEEE TCDS, 2019
Paper, Video

Goal‐Anticipatory Gaze in Infants from Event‐Predictive Learning and Inference

Christian Gumbsch, Maurits Adam, Birgit Elsner, & Martin V. Butz
Cognitive Science, 2021
Paper, Code