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ep.331: Multi-Robot Learning, with Amanda Prorok
Manage episode 304555603 series 18768
Content provided by Robohub Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Robohub Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Robohub Podcast · Multi-Robot Learning In this episode, Lilly interviews Amanda Prorok, Professor of Computer Science and Technology at the University of Cambridge. Prorok discusses her research on multi-robot and multi-agent systems and learning coordination policies via Graph Neural Networks. They dig into her recent work on self-interested robots and finding explainability in emergent behavior.
303 episodes
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Manage episode 304555603 series 18768
Content provided by Robohub Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Robohub Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Robohub Podcast · Multi-Robot Learning In this episode, Lilly interviews Amanda Prorok, Professor of Computer Science and Technology at the University of Cambridge. Prorok discusses her research on multi-robot and multi-agent systems and learning coordination policies via Graph Neural Networks. They dig into her recent work on self-interested robots and finding explainability in emergent behavior.
303 episodes
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