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Jess and I discuss construction using graph neural networks. She makes AI agents that build structures to solve tasks in a simulated blocks and glue world using graph neural networks and deep reinforcement learning. We also discuss her work modeling mental simulation in humans and how it could be implemented in machines, and plenty more.
Show notes:
Support the show on Patreon for almost nothing. I speak with Tom Griffiths about his “resource-rational framework”, inspired by Herb Simon's bounded rationality and...
[bctt tweet="Check out episode 6 of the Brain Inspired podcast: Deep learning, eyeballs, and brains" username="pgmid"] Mentioned in the show Ryan Poplin What is...
Support the show to get full episodes and join the Discord community. Check out my short video series about what's missing in AI and...