RS061 In-context Exploration-Exploitation for Reinforcement Learning
May 7, 2024

In-context Exploration-Exploitation for Reinforcement Learning

Machine learning (ML) models are widely used on Spotify to provide users with a daily personalized listening experience.

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Latest Publications

We publish research papers and present our work in a wide range of venues.

Exploring Local Music’s Place in Global Streaming

Samuel Way, Dominika Mazur, Rebecca Kupferman, Megan Walsh, Angelina Tizé and Ben Lacker

In-context Exploration-Exploitation for Reinforcement Learning

Zhenwen Dai, Federico Tomasi, Sina Ghiassian

A Genre-Based Analysis of New Music Streaming at Scale

Julie Jiang, Aditiya Ponnada, Ang Li, Ben Lacker, and Samuel F Way

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Research Areas

How do we create more personalized experiences? What can we learn about listeners based on how they use written language? How do we optimize testing methodologies? Explore all our research areas below.

Algorithmic Responsibility
Audio Intelligence
Evaluation
Human-Computer Interaction
Machine Learning
Language Technologies
Search & Recommendations
User Modeling

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We’re expanding knowledge of audio technology every day, sharing open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.

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