Skip to content

Latest commit

 

History

History
8 lines (5 loc) · 542 Bytes

README.md

File metadata and controls

8 lines (5 loc) · 542 Bytes

DeepQNetwork

Implementation of Deep Q Network with Pybullet

Objective

Use DeepQNetworks to find the optimal path to the destination using an environment created using pybullet. The environment contains obstacles and a goal point(soccerball). The input states to the network are images and the total area of obstacles in the scene (found using segmentation masks).

Screen Shot 2021-10-21 at 1 00 49 PM