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.