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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.
More from the Same Authors
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2022 : Contextual Squeeze-and-Excitation »
Massimiliano Patacchiola · John Bronskill · Aliaksandra Shysheya · Katja Hofmann · Sebastian Nowozin · Richard Turner -
2022 : Imitating Human Behaviour with Diffusion Models »
Tim Pearce · Tabish Rashid · Anssi Kanervisto · David Bignell · Mingfei Sun · Raluca Georgescu · Sergio Valcarcel Macua · Shan Zheng Tan · Ida Momennejad · Katja Hofmann · Sam Devlin -
2022 Poster: Uni[MASK]: Unified Inference in Sequential Decision Problems »
Micah Carroll · Orr Paradise · Jessy Lin · Raluca Georgescu · Mingfei Sun · David Bignell · Stephanie Milani · Katja Hofmann · Matthew Hausknecht · Anca Dragan · Sam Devlin -
2022 Poster: Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification »
Massimiliano Patacchiola · John Bronskill · Aliaksandra Shysheya · Katja Hofmann · Sebastian Nowozin · Richard Turner -
2021 : Towards RL applications in video games and with human users »
Katja Hofmann -
2021 : Methods:: Understanding Human-like Behavior in Video Game Navigation »
Evelyn Zuniga · Stephanie Milani · Katja Hofmann -
2021 : IGLU: Interactive Grounded Language Understanding in a Collaborative Environment + Q&A »
Julia Kiseleva · Ziming Li · Mohammad Aliannejadi · Maartje Anne ter Hoeve · Mikhail Burtsev · Alexey Skrynnik · Artem Zholus · Aleksandr Panov · Katja Hofmann · Kavya Srinet · arthur szlam · Michel Galley · Ahmed Awadallah -
2021 Poster: Grounding Spatio-Temporal Language with Transformers »
Tristan Karch · Laetitia Teodorescu · Katja Hofmann · Clément Moulin-Frier · Pierre-Yves Oudeyer -
2021 Poster: Memory Efficient Meta-Learning with Large Images »
John Bronskill · Daniela Massiceti · Massimiliano Patacchiola · Katja Hofmann · Sebastian Nowozin · Richard Turner -
2020 Workshop: Competition Track Saturday »
Hugo Jair Escalante · Katja Hofmann -
2020 Workshop: Competition Track Friday »
Hugo Jair Escalante · Katja Hofmann -
2020 : Opening - Competition Track Session »
Katja Hofmann · Hugo Jair Escalante -
2020 : Discussion Panel: Hugo Larochelle, Finale Doshi-Velez, Devi Parikh, Marc Deisenroth, Julien Mairal, Katja Hofmann, Phillip Isola, and Michael Bowling »
Hugo Larochelle · Finale Doshi-Velez · Marc Deisenroth · Devi Parikh · Julien Mairal · Katja Hofmann · Phillip Isola · Michael Bowling -
2019 : Multi-Task Reinforcement Learning and Generalization »
Katja Hofmann -
2019 : The MineRL competition »
Misa Ogura · Joe Booth · Sophia Sun · Nicholay Topin · Brandon Houghton · William Guss · Stephanie Milani · Oriol Vinyals · Katja Hofmann · JIA KIM · Karolis Ramanauskas · Florian Laurent · Daichi Nishio · Anssi Kanervisto · Alexey Skrynnik · Artemij Amiranashvili · Christian Scheller · KAIXIN WANG · Yanick Schraner -
2019 Poster: Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck »
Maximilian Igl · Kamil Ciosek · Yingzhen Li · Sebastian Tschiatschek · Cheng Zhang · Sam Devlin · Katja Hofmann -
2019 Poster: Better Exploration with Optimistic Actor Critic »
Kamil Ciosek · Quan Vuong · Robert Loftin · Katja Hofmann -
2019 Spotlight: Better Exploration with Optimistic Actor Critic »
Kamil Ciosek · Quan Vuong · Robert Loftin · Katja Hofmann -
2019 Poster: Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning »
David Janz · Jiri Hron · Przemysław Mazur · Katja Hofmann · José Miguel Hernández-Lobato · Sebastian Tschiatschek -
2019 Tutorial: Reinforcement Learning: Past, Present, and Future Perspectives »
Katja Hofmann -
2018 : How Players Speak to an Intelligent Game Character Using Natural Language Messages »
Katja Hofmann -
2017 : Panel: "How can we characterise the landscape of intelligent systems and locate human-like intelligence in it?" »
Josh Tenenbaum · Gary Marcus · Katja Hofmann -
2016 Demonstration: Project Malmo - Minecraft for AI Research »
Katja Hofmann · Matthew A Johnson · Fernando Diaz · Alekh Agarwal · Tim Hutton · David Bignell · Evelyne Viegas