Studying Artificial Intelligence, from backbone to application.
Notes from the ai.x 2018 Conference: Faster Reinforcement Learning via Transfer
SK T-Brain hosted the ai.x Conference on September 6th at Seoul, South Korea. At this conference, John Schulman (OpenAI) spoke about faster reinforcement learning via...
10 Sep 2018
Jupyter Notebook extensions to enhance your efficiency
Jupyter Notebook is a great tool that allows you to integrate live code, equations, visualizations and narrative text into a document. It is used extensively...
19 Jun 2018
Bias-variance Tradeoff in Reinforcement Learning
Bias-variance tradeoff is a familiar term to most people who learned machine learning. In the context of Machine Learning, bias and variance refers to the...
10 Jun 2018
I learned DQNs with OpenAI competition
On April, OpenAI held a two-month-long competition called the Retro Contest where participants had to develop an agent that can achieve perform well on unseen...
05 Jun 2018
Effective Data: Partition
To train a good model, you need lots of data. Luckily, over the last few decades, collecting data has become much easier. However, there is little value...
14 Apr 2018
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