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The Potential of Reinforcement Learning for Live Musical Agents
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posted on 2023-06-08, 06:23 authored by Nick CollinsReinforcement learning has great potential applicability in computer music, particularly for interactive scenarios and the production of effective control policies for systems. This paper considers in particular the case of interactive music systems, where a software agent can be trained online during a rehearsal session with a musician. A small-scale system is described which uses the Sarsa(?) algorithm to update state-action values to determine a policy for output behaviours over a modest feature space. It is hoped that issues arising can be discussed fruitfully in a workshop context.
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Publication status
- Published
Presentation Type
- paper
Event name
International Workshop on Machine Learning and Music 2008Event location
Helsinki, FinlandEvent type
conferenceDepartment affiliated with
- Informatics Publications
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- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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