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Representation Transfer in RL Systems by vibhorsaxena2302 is a document available to read on EtoBox.
What is Representation Transfer in RL Systems about?
This document discusses representation transfer in reinforcement learning, which involves transferring knowledge between agents with different internal representations to improve learning efficiency on target tasks. The authors introduce two algorithms for representation transfer and demonstrate their effectiveness in a multi-agent domain, specifically in robot soccer. The work highlights the potential benefits of using varied representations during the learning process, both for improving performance and r
- Author
- vibhorsaxena2302
- Language
- EN