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Katja Hofmann: 'Video games and the road to collaborative AI'
Katja Hofmann

Thu Dec 07 05:30 PM -- 06:00 PM (PST) @
in Kinds of intelligence: types, tests and meeting the needs of society »
Event URL: https://www.microsoft.com/en-us/research/people/kahofman/ »

Katja Hofmann is a researcher at the Machine Intelligence and Perception group at Microsoft Research Cambridge, where she is the lead researcher for Project Malmo. Using the popular game Minecraft as a platform, Project Malmo aims to develop artificial intelligences that can interpret complex environments and collaborate with other agents, including humans. A key goal of the project is to assist the broader research community in developing new approaches to reinforcement learning. Outside of Project Malmo, Katja works on applying machine learning to information retrieval in order to improve online search and recommendation systems.

Author Information

Katja Hofmann (Microsoft Research)

Dr. Katja Hofmann is a Principal Researcher at the [Game Intelligence](http://aka.ms/gameintelligence/) group at [Microsoft Research Cambridge, UK](https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/). There, she leads a research team that focuses on reinforcement learning with applications in modern video games. She and her team strongly believe that modern video games will drive a transformation of how we interact with AI technology. One of the projects developed by her team is [Project Malmo](https://www.microsoft.com/en-us/research/project/project-malmo/), which uses the popular game Minecraft as an experimentation platform for developing intelligent technology. Katja's long-term goal is to develop AI systems that learn to collaborate with people, to empower their users and help solve complex real-world problems. Before joining Microsoft Research, Katja completed her PhD in Computer Science as part of the [ILPS](https://ilps.science.uva.nl/) group at the [University of Amsterdam](https://www.uva.nl/en). She worked with Maarten de Rijke and Shimon Whiteson on interactive machine learning algorithms for search engines.

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