This set of slides were written in September, just after the AGI 2019 Conference in China, but I only got time to translate them into English today:
English version: https://drive.google.com/open?id=1J9_rihrWWXvQE1-wTz5iXOXhdnHpK7Wx Chinese version: https://drive.google.com/open?id=1IGfRaUc-uSSEca2D-mwF5T05JRfxUVg7 One contribution I'm quite proud of is that reinforcement learning can be viewed as solving the Schrodinger equation. Though it may not be of very high practical value ๐ I'm currently designing an AGI architecture borrowing ideas from Google's BERT. I will explain this in another set of slides. Comments and suggestions welcome ๐ ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Tcfe7cc93841eec23-M5e1415728f77e7318ae0daed Delivery options: https://agi.topicbox.com/groups/agi/subscription
