This repository contains a series of projects in Deep Reinforcement Learning. The projects vary from rewriting codes from well established papers in the literature (see the Policy Methods, Value Methods folders) to writing new codes and experimenting with the state of the art current situation (see the Towards Agent 57 code and Sparse Rewards Folders).
More details inside each respective Folder