Master-Thesis

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

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38 Stars

3 Forks

38 Watchers

TeX Language

100 SrcLog Score

Cost to Build

$11.22M

Market Value

$13.74M

How is this calculated?

Growth over time

8 data points · 2021-07-01 → 2026-04-01

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What is the popovicidaniela/Master-Thesis GitHub project? Description: "Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex". Written in TeX. Explain what it does, its main use cases, key features, and who would benefit from using it.

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