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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

Sat Dec 14 09:00 AM -- 10:15 AM (PST) @

MineRL Competition on Sample Efficient Reinforcement Learning.

Competition chairs: Brandon Houghton, William Guss, Stephanie Milani, Nicholay Topin

  • Overview and highlights of the competition. Brandon Houghton, William Guss

  • Competition Awards. Stephanie Milani

  • Special Awards. Oriol Vinyals & advisory board.

  • Discussion of future competitions. Katja Hofmann

  • Competitors Presentations

Author Information

Misa Ogura (BBC R&D)
Joe Booth (Vidya Gamer, LLC / Orions Systems, Inc)
Sophia Sun (UC San Diego)

2nd year PhD student working on Reinforcement Learning.

Nicholay Topin (Carnegie Mellon University)
Brandon Houghton (Carnegie Mellon University)
William Guss (Carnegie Mellon University)
Stephanie Milani (Carnegie Mellon University)
Oriol Vinyals (Google DeepMind)

Oriol Vinyals is a Research Scientist at Google. He works in deep learning with the Google Brain team. Oriol holds a Ph.D. in EECS from University of California, Berkeley, and a Masters degree from University of California, San Diego. He is a recipient of the 2011 Microsoft Research PhD Fellowship. He was an early adopter of the new deep learning wave at Berkeley, and in his thesis he focused on non-convex optimization and recurrent neural networks. At Google Brain he continues working on his areas of interest, which include artificial intelligence, with particular emphasis on machine learning, language, and vision.

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.

Karolis Ramanauskas (-)
Karolis Ramanauskas

PhD Student in Reinforcement Learning

Florian Laurent (EPFL)
Daichi Nishio (Kanazawa University)
Anssi Kanervisto (University of Eastern Finland)

3rd year Ph.D student, with work focusing on video games and use of them in deep reinforcement learning research. Occasional work on speaker recognition and spoof detection.

Alexey Skrynnik (Federal Research Center of Computer Science and Control)
Artemij Amiranashvili (University of Freiburg)
Christian Scheller (FHNW)
KAIXIN WANG (National University of Singapore)
Yanick Schraner (University of Applied Sciences Northwestern Switzerland)

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