Accepted at Causal and Object-Centric Representations for Robotics workshop at CVPR 2024
Hi! I’m Andreas. This is my personal webpage.
Short Bio
I am a PhD candidate at the Vrije Universiteit Amsterdam working on Artificial Intelligence with a background in Computer Science and Cognitive Science. My main research interest are in causal discovery and inference specializing on methods that make use of amortized learning and reinforcement learning.
Guided by Erman Acar, Aske Plaat, and Frank van Harmelen, and supported by my colleages in Amsterdam and Leiden, I’m exploring how these fields intersect to enhance artificial systems. My background spans cognition science (BSc) from the University of Tübingen and AI (MSc) from Vrije Universiteit Amsterdam, giving me a comprehensive approach to research. I’m thrilled to be part of the Hybrid Intelligence Center, where my work contributes to creating artificial systems that are more adaptive to human partners.
If you share my passion for these topics, I’d love to connect and delve into their exciting potential together.
LATEST NEWS
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Our Paper on Causality-Aware Shapley Values for Global XAI Accepted at World XAI Conference.
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Our paper “CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning” got accepted at AAMAS 24.