Summary: Support the Podcast 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: Jess’s website. Follow her on twitter: @jhamrick The papers we discuss or mention: Analogues of mental simulation and imagination in deeplearning. Structured agents for physical construction. Relational inductive biases, deep learning, and graph networks.Build your own graph networks: Open source graph network library.
