[Video] Design Out Helplessness: AI Interventions for Game Inclusivity

My PhD dissertation defense on using AI techniques to make games more accessible and inclusive, covering diagnostic taxonomy of failure, dynamic tutorials, and reinforcement learning-powered assistance methods.

[Video] The Today and Tomorrow of Machine Learning in the Games Industry

An overview of how machine learning is currently used in the games industry and a survey of exciting research projects that may shape its future—from testing and matchmaking to procedural generation and co-creation tools.

Designer-centered reinforcement learning

Making RL more accessible to game designers through preference learning, automatic reward balancing, and designer-friendly workflows. Research conducted during my internship at Microsoft Research Cambridge.