References

Aqwam’s (DataPredict’s Creator) Papers

• Investigating The Performance Of Model-Free Deep Reinforcement Learning In Roblox Ecosystem (Master Research Thesis) (Thesis done. Translation to Malay is needed for my university’s requirements.)

• Impact Of Lua-Native Machine Learning Retention Models On Metaverse Experiences On Roblox Ecosystem (Research Article) (Secondary Priority)

  • Anonymized data to protect my clients’ interests.

  • Covers revenue, play time and player-returning-power.

  • Not really my idea, but my clients recommend me to do it so that they have a “scientific paper” to show off. Might take a while since I am focused on taking care of my brother plus my master research thesis.

• DataPredict - A General Machine, Deep, Reinforcement Learning Library For Lua-Native Games (Research Article) (Secondary Priority)

  • Again, not really my idea, but the researchers using DataPredict recommend me to do it to make it easy to cite to their papers. Same slow progress reasoning as above.

Retention

Machine Learning Based

• Predicting Player Churn of a Free-to-Play Mobile Video Game Using Supervised Machine Learning (Research Paper)

• Predicting Player Churn in the Gaming Industry: A Machine Learning Framework for Enhanced Retention Strategies (Research Article)

• Retention Prediction in the Gaming Industry: Fuzzy Machine Learning Approach (Conference Paper)

• Enhancing Customer Retention in Online Games Using Customer Lifetime Value (Master Thesis)

• Early churn prediction with personalized targeting in mobile social games (Conference Paper)

• Churn prediction of mobile and online casual games using play log data (Research Paper)

Reinforcement Learning Based

• Analyzing and Modeling User Retention Dynamics in a Free-to-Play Game: A Markovian Approach (Master Thesis)

General

• Personalized game design for improved user retention and monetization in freemium games (Journal Paper)

Recommendation System

Note: It is tough to find game-related recommendation systems. However, I still used them to understand data collection and what item attributes to use when recommending an item.

Machine Learning Based

• Review of Clustering-Based Recommender Systems (Review Paper)

• Cold-Start Recommendation System Using K-Nearest Neighbor and Decision Tree in Movie Rating Prediction (Bachelor Thesis)

• Sub-clustering based recommendation system for stroke patient: Identification of a specific drug class for a given patient (Research Paper)

• Performance Evaluation on E-Commerce Recommender System based on KNN, SVD, CoClustering and Ensemble Approaches (Journal Paper)

General

• Game Recommendation System (Research Paper)

Adaptive Difficulty System

Machine Learning Based

• A Dynamic Difficulty Adjustment Algorithm With Generic Player Behavior Classification Unity Plugin In Single Player Games (Research Paper)

• AI for dynamic difficulty adjustment in games (Research Paper)

Reinforcement Learning Based

• Towards Adaptive Deep Reinforcement Game Balancing* (Conference Paper)

• Investigating Reinforcement Learning for Dynamic Difficulty Adjustment (Conference Paper)

• Dynamic difficulty adjustment using deep reinforcement learning: A review (Review Paper)

• MAS4Games: A Reinforced Learning-Based Multi-agent System to Improve Player Retention in Virtual Reality Video Games (Conference Paper)

• Continuous Reinforcement Learning-based Dynamic Difficulty Adjustment in a Visual Working Memory Game (Research Paper)

General

• Fuzzy Logic-Based Dynamic Difficulty Adjustment for Adaptive Game Environments (Conference Paper)

• Personalized Game Design for Improved User Retention and Monetization in Freemium Mobile Games (Research Paper)

• Exploring Dynamic Difficulty Adjustment Methods for Video Games (Conference Paper)

Targeting Systems

Machine Learning Based

Clustering for Multi-Target Tracking (Master Thesis)

Reinforcement Learning Based

Target Search and Navigation in Heterogeneous Robot Systems with Deep Reinforcement Learning (Research Paper)

Deep Reinforcement Learning for UAV Target Search and Continuous Tracking in Complex Environments with Gaussian Process Regression and Prior Policy Embedding (Research Paper)