PPO-Humanoid
Proximal Policy Optimization for continuous control. The agent learns to walk in the Humanoid environment from OpenAI Gym, mastering complex locomotion through reinforcement learning.
Stable Diffusion Real-Time Game Engine
A diffusion model generates the next video frame in real-time, trained on Super Mario Kart. Training data was collected by an AI agent learning to play the game, combining RL-based data collection with generative modeling.
SPH-CUDA
Smoothed Particle Hydrodynamics simulation using CUDA for parallel computation and raylib for real-time visualization. Uses a uniform grid for neighbor searches, scaling to thousands of particles.
I am Florian Wieland, a Master's student in Applied Computer Science at Hochschule Esslingen. My interests span across various domains in computer science, including reinforcement learning, quantum computing, and AI safety.
I work as a student researcher at Fraunhofer IPA and am currently exploring adversarial attacks on neural networks for radar perception as part of my Master's research.
Exponential Scaling Barriers for Variational Quantum Eigensolvers
Manuel Hagelueken, David A. Kreplin, Florian Wieland, Marco F. Huber, Marco Roth · arXiv preprint arXiv:2603.13073 · 2026
Automating Defect Detection in Small Electrical Appliances: A Machine Learning Approach for Remanufacturing
Engjëll Ahmeti, Jan Koller, Florian Wieland, Daniel Bargmann, Frank Döpper · 7th Conference on Production Systems and Logistics (CPSL 2025) · 2025