A collection of annotated research papers, primarily focused on deep learning and reinforcement learning.
Heavily inspired from this collection of papers by Aakash Kumar Nain.
Updated June 5th 2022
| Short Name | Original Paper Name | Link | Description |
|---|---|---|---|
| RLiable | Deep Reinforcement Learning at the Edge of the Statistical Precipice | https://arxiv.org/abs/2108.13264 | Evaluation metrics for Reinforcement Learning |
| PPG | Phasic Policy Gradient | https://arxiv.org/abs/2009.04416 | RL method that improves sample efficiency over PPO |
Disclaimer: Annotated papers may contain poor jokes. You have been warned.