Martin Balla is a Machine Learning Scientist with nine years of experience bridging academic research and applied game AI, recently joining Relation after completing a PhD in Artificial Intelligence at Queen Mary University of London. His doctoral work explored multi-task reinforcement learning with a focus on enabling agents to transfer skills to novel, unseen deployment scenarios—insights he validated across games and large-scale testing of digital twins. He has practical experience lowering entry barriers for RL research from his time at Microsoft on Project Malmo and has taught AI-for-games, Unity development, and data analytics to undergraduate and master’s students. Martin combines rigorous experimental methodology with hands-on implementation, having demonstrated research outcomes to industry audiences (e.g., UK Games Expo) and contributed tooling and examples to make complex RL frameworks more accessible.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, 1st, Bachelor's degree, Computer Science, 1st at University of Essex
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Queen Mary University of London
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:
Contributions:35 commits, 1 PR in 2 months
malmominecraftexperimentationaimscroll
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Martin Balla - Machine Learning Scientist at Relation