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Deep Deterministic Policy Gradients in Pytorch with Simulation in PyBullet

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Deep Deterministic Policy Gradients in Pytorch with Simulation in PyBullet

Objective:

Use Deep Deterministic Policy Gradients 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

code not completely updated!

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Deep Deterministic Policy Gradients in Pytorch with Simulation in PyBullet

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