Search Results for author: Stefan Heinrich

Found 7 papers, 4 papers with code

Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning

no code implementations3 Oct 2023 Finn Rietz, Stefan Heinrich, Erik Schaffernicht, Johannes Andreas Stork

PSQD offers the ability to reuse previously learned subtask solutions in a zero-shot composition, followed by an adaptation step.

reinforcement-learning Reinforcement Learning (RL)

Lower bounds for the number of random bits in Monte Carlo algorithms

no code implementations23 Dec 2020 Stefan Heinrich

We continue the study of restricted Monte Carlo algorithms in a general setting.

Numerical Analysis Numerical Analysis

Crossmodal Language Grounding in an Embodied Neurocognitive Model

1 code implementation24 Jun 2020 Stefan Heinrich, Yuan YAO, Tobias Hinz, Zhiyuan Liu, Thomas Hummel, Matthias Kerzel, Cornelius Weber, Stefan Wermter

From a neuroscientific perspective, natural language is embodied, grounded in most, if not all, sensory and sensorimotor modalities, and acquired by means of crossmodal integration.

Semantic Object Accuracy for Generative Text-to-Image Synthesis

2 code implementations29 Oct 2019 Tobias Hinz, Stefan Heinrich, Stefan Wermter

To address these challenges we introduce a new model that explicitly models individual objects within an image and a new evaluation metric called Semantic Object Accuracy (SOA) that specifically evaluates images given an image caption.

Image Captioning Text-to-Image Generation

Generating Multiple Objects at Spatially Distinct Locations

1 code implementation ICLR 2019 Tobias Hinz, Stefan Heinrich, Stefan Wermter

Our experiments show that through the use of the object pathway we can control object locations within images and can model complex scenes with multiple objects at various locations.

Conditional Image Generation Object +1

Interactive Natural Language Acquisition in a Multi-modal Recurrent Neural Architecture

no code implementations24 Mar 2017 Stefan Heinrich, Stefan Wermter

For the complex human brain that enables us to communicate in natural language, we gathered good understandings of principles underlying language acquisition and processing, knowledge about socio-cultural conditions, and insights about activity patterns in the brain.

Language Acquisition

Cannot find the paper you are looking for? You can Submit a new open access paper.