TopicNeuroscience

imitation learning

Content Overview
3Total items
2Seminars
1ePoster

Latest

SeminarNeuroscience

Generative models for video games (rescheduled)

Katja Hoffman
Microsoft Research
May 22, 2024

Developing agents capable of modeling complex environments and human behaviors within them is a key goal of artificial intelligence research. Progress towards this goal has exciting potential for applications in video games, from new tools that empower game developers to realize new creative visions, to enabling new kinds of immersive player experiences. This talk focuses on recent advances of my team at Microsoft Research towards scalable machine learning architectures that effectively capture human gameplay data. In the first part of my talk, I will focus on diffusion models as generative models of human behavior. Previously shown to have impressive image generation capabilities, I present insights that unlock applications to imitation learning for sequential decision making. In the second part of my talk, I discuss a recent project taking ideas from language modeling to build a generative sequence model of an Xbox game.

SeminarNeuroscience

Generative models for video games

Katja Hoffman
Microsoft Research
May 1, 2024

Developing agents capable of modeling complex environments and human behaviors within them is a key goal of artificial intelligence research. Progress towards this goal has exciting potential for applications in video games, from new tools that empower game developers to realize new creative visions, to enabling new kinds of immersive player experiences. This talk focuses on recent advances of my team at Microsoft Research towards scalable machine learning architectures that effectively capture human gameplay data. In the first part of my talk, I will focus on diffusion models as generative models of human behavior. Previously shown to have impressive image generation capabilities, I present insights that unlock applications to imitation learning for sequential decision making. In the second part of my talk, I discuss a recent project taking ideas from language modeling to build a generative sequence model of an Xbox game.

ePosterNeuroscience

Deep imitation learning for neuromechanical control: realistic walking in an embodied fly

Elliott Abe, Charles Zhang, Raveena Chhibber, Grant Chou, Jason Foat, Dang Truong, Bence Olveczky, Nathan Sniadecki, John Tuthill, Talmo Pereira, Bing Brunton

COSYNE 2025

imitation learning coverage

3 items

Seminar2
ePoster1

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