CI in Sport Games
08.04.2024 -
We have been developing Algorithms, Simulations, and HW for Sport Games in the past years. Our newest research is on the Tennis Game:
- Carlo Nübel
- Match Point AI: A Novel Reinforcement Learning Framework for Evaluating Data-Driven Tennis Strategies
- Master Thesis, OVGU
- Supervision: Sanaz Mostaghim
- April 2024
Top: Djokovic Bot (Based on the data gathered from his matches from 2017 to 2023 over 394 matches)
Down: Our AI-Based Bot based on Monte Carlo Tree Search
Other projects were for Dart Games and Football Table (CIcker) on Hardware:
- Ruben Ortlam,
- Developing and Evaluating Smart Agents for a Football Table Game
- Master Thesis, OVGU
- Supervision: Sanaz Mostaghim
- Advisor: Christoph Steup
- October 2022
Videos: Here
- Thomas Hennig
- Variability Analysis based on Multi-Objective Performance and Throw Acceleration in Dart-Game
- Master Thesis, OVGU
- Supervision: Sanaz Mostaghim (OvGU), Frank Ohl (Leibniz Institute for Neurobiology)
- Advisors: Heiner Zille and Lars Boenke
- November 2018