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 to meet my university’s requirements.)

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

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

  • Anonymized data to protect my clients’ interests.

  • Not really my idea, but my clients recommend me to do it so that they have a “scientific paper” to pitch to their clients. 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 Paper) (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.

  • Incomplete draft version can be found here.

• Impact Of Lua-Native Machine Learning Retention Models On Indie Games On Roblox Ecosystem (Research Paper) (Tertiary Priority)

  • Not started yet because we’re lacking indie game data.

  • Let me know if you want to be a part of this.

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)

• Predicting Online Gaming Behaviour Using Machine Learning Techniques (Journal 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)

Reinforcement learning Based

• Reinforcement learning based recommender systems: A survey (Survey Paper)

• A reinforcement learning recommender system using bi-clustering and Markov Decision Process (Research Paper)

General

• Game Recommendation System (Research Paper)

Dynamic Difficulty Adjustment 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)

Anti Cheats

Machine Learning Based

• One-Class Classification: Taxonomy of Study and Review of Techniques (Review Paper)