Personal Project: AI Training for Video Game Combat Simulation
Trained AI auto-gemini-2.5 models using WSL with the goal of simulating combat patterns for video games. Developed datasets and adjusted model parameters to improve the AI's ability to learn video game mechanics. Conducted iterative testing and model evaluations to refine the training outcomes. • Focused on reinforcement learning for game simulation scenarios. • Utilized computer code and gameplay logs as training data. • Experimented with fine-tuning techniques for improved pattern recognition. • Evaluated model performance through repeated experimentation.