Coevolution of Agents and Environments (POET)

This video explains one of the most interesting ideas in Artificial Intelligence! The POET algorithm is a framework to simultaneously optimize agents while evolving the complexity of the environments they interact with. This algorithm has shown remarkable results in the Bipedal Walker task mapping 24 input variables (LIDAR sensors + Internal state variables) to 4 outputs controlling the walker's movements! Thanks for watching! Please Subscribe!

Paper Link: https://arxiv.org/pdf/1901.01753.pdf

Видео Coevolution of Agents and Environments (POET) канала Connor Shorten