Publications (14)
First-principles analysis of the effect of magnetic states on the oxygen vacancy formation energy in doped LaSrCoO perovskite
Wei Wei, Florian Fuchs, Andreas Zienert +2
Oxygen vacancies are critical for determining the electrochemical performance of fast oxygen ion conductors. The perovskite LaSrCoO, known for its excellent mix…
Coachable agents for interactive gameplay
Roberto Capobianco, Harm van Seijen, Nolan D. Bard +39
Reinforcement learning has proven to be a valuable tool in the creation of advanced AI and robotic systems, contributing to everything from game playing to robotics to foundation m…
Solving Integrated Periodic Railway Timetabling with Satisfiability Modulo Theories: A Scalable Approach to Routing and Vehicle Circulation
Florian Fuchs, Bernardo Martin-Iradi, Francesco Corman
This paper introduces a novel approach for jointly solving the periodic Train Timetabling Problem (TTP), train routing, and Vehicle Circulation Problem (VCP) through a unified opti…
Noise recovery for Lévy-driven CARMA processes and high-frequency behaviour of approximating Riemann sums
Vincenzo Ferrazzano, Florian Fuchs
We consider high-frequency sampled continuous-time autoregressive moving average (CARMA) models driven by finite-variance zero-mean Lévy processes. An L^2-consistent estimator for…
Stationarity and Geometric Ergodicity of BEKK Multivariate GARCH Models
Farid Boussama, Florian Fuchs, Robert Stelzer
Conditions for the existence of strictly stationary multivariate GARCH processes in the so-called BEKK parametrisation, which is the most general form of multivariate GARCH process…
Spectral Representation of Multivariate Regularly Varying Lévy and CARMA processes
Florian Fuchs, Robert Stelzer
A spectral representation for regularly varying Lévy processes with index between one and two is established and the properties of the resulting random noise are discussed in deta…
Human-Like Goalkeeping in a Realistic Football Simulation: a Sample-Efficient Reinforcement Learning Approach
Alessandro Sestini, Joakim Bergdahl, Jean-Philippe Barrette-LaPierre +5
While several high profile video games have served as testbeds for Deep Reinforcement Learning (DRL), this technique has rarely been employed by the game industry for crafting auth…
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
Florian Fuchs, Yunlong Song, Elia Kaufmann +2
Autonomous car racing is a major challenge in robotics. It raises fundamental problems for classical approaches such as planning minimum-time trajectories under uncertain dynamics…
Reward-Adaptive Iterative Discovery: A Case Study on Automated Game Testing for NHL26
Florian Fuchs, Jessy Gosselin-Grant, Boris Skuin +5
Testing is a major effort for the gaming industry, requiring a significant part of development budget and people power. We present a case study on a development version of the ice…
Hierarchical Control in Multi-Agent Games: LLM-based Planning and RL Execution
Jannik Hösch, Alessandro Sestini, Florian Fuchs +6
Reinforcement learning (RL) has achieved strong performance in sequential decision-making, yet scaling to complex multi-agent environments remains challenging due to sparse rewards…
Quantum confinement in semiconductor random alloys: a case study on Si/SiGe/Si
Daniel Dick, Florian Fuchs, Sibylle Gemming +1
Local composition fluctuations in random alloys become crucial when one or more dimensions are reduced to the nanoscale. Using extended Hückel theory, we study the semiconductor r…
Self-correcting Reward Shaping via Language Models for Reinforcement Learning Agents in Games
António Afonso, Iolanda Leite, Alessandro Sestini +3
Reinforcement Learning (RL) in games has gained significant momentum in recent years, enabling the creation of different agent behaviors that can transform a player's gaming experi…
Augmenting Game AI with Deep Reinforcement Learning
Alessandro Sestini, Joakim Bergdahl, Amir Baghi +3
Immersion in video games depends not only on graphics, audio, and game mechanics, but also on the quality of in-game characters. Producing believable characters, or game AI, remain…
Local laser-induced solid-phase recrystallization of phosphorus-implanted Si/SiGe heterostructures for contacts below 4.2 K
Malte Neul, Isabelle V. Sprave, Laura K. Diebel +6
Si/SiGe heterostructures are of high interest for high mobility transistor and qubit applications, specifically for operations below 4.2 K. In order to optimize parameters such as…