3 papers
cs.AI2024
Personalized Dynamic Difficulty Adjustment -- Imitation Learning Meets Reinforcement Learning
Ronja Fuchs, Robin Gieseke, Alexander Dockhorn
Balancing game difficulty in video games is a key task to create interesting gaming experiences for players. Mismatching the game difficulty and a player's skill or commitment resu…
cs.AI2024
Online Optimization of Curriculum Learning Schedules using Evolutionary Optimization
Mohit Jiwatode, Leon Schlecht, Alexander Dockhorn
We propose RHEA CL, which combines Curriculum Learning (CL) with Rolling Horizon Evolutionary Algorithms (RHEA) to automatically produce effective curricula during the training of…
cs.AI2024
Markov Senior -- Learning Markov Junior Grammars to Generate User-specified Content
Mehmet Kayra OÄuz, Alexander Dockhorn
Markov Junior is a probabilistic programming language used for procedural content generation across various domains. However, its reliance on manually crafted and tuned probabilist…