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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...

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...

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...

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...

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...