The idea is inspired by Daniel Seita who inspired himself by Adrian Colyer and Denny Britz.

This repository will contain notes from the research papers I have read. The papers will be sorted by domain and date. Finally, each paper will be accompanied by a note on my understanding level, the scale will be between 0 and 10.

I will update it over time and through my readings.

As a beginner, don't hesitate to correct me

• Mastering the game of Go without human knowledge (6)

• Rainbow: Combining Improvements in Deep Reinforcement Learning (6)

• Proximal Policy Optimization Algorithms (7)

• Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI (8)

• Active Object Localization with Deep Reinforcement Learning (7)

• Playing Atari with Deep Reinforcement Learning (8)

• Learning to Compare Image Patches via Convolutional Neural Networks (5)