Uncategorised
Learning Word Embedding
Human vocabulary comes in free text. In order to make a machine learning model understand and process the natural language, we need to transform the free-text words into numeric values. One of the simplest transformation approaches is to do a one-hot …
Research
Meta-learning for wrestling
We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a stronger non-meta-learning agent, and also show that the meta-learning agent can adapt to physical malfunction.
Research
Competitive self-play
We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving for the ball, without explicitly designing an environment with these skills in mind. Self-play ensures that the en…
Linux
Ubuntu 17.10: a last minute review
On October 19 2017, Ubuntu 17.10 will be released and as many of you know it packs lots of significant changes. I spend a week testing the Beta 2 and in this “last minute” review, I document some of the less obvious features/gotchas of Ubuntu 17.10. I …
Uncategorised
Anatomize Deep Learning with Information Theory
Professor Naftali Tishby passed away in 2021. Hope the post can introduce his cool idea of information bottleneck to more people.
Recently I watched the talk “Information Theory in Deep Learning” by Prof Naftali Tishby and found it very in…
Research
Learning to model other minds
We’re releasing an algorithm which accounts for the fact that other agents are learning too, and discovers self-interested yet collaborative strategies like tit-for-tat in the iterated prisoner’s dilemma. This algorithm, Learning with Opponent-Learning…