DQN-using-PyTorch-and-ML-Agents

xkiwilabs

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

unity

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64 Stars

12 Forks

64 Watchers

Python Language

gpl-3.0 License

Cost to Build

$467.5K

Market Value

$702.6K

How is this calculated?

Growth over time

1 data points · 2021-08-06 → 2021-08-06

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What is the xkiwilabs/DQN-using-PyTorch-and-ML-Agents GitHub project? Description: "A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone DQN-using-PyTorch-and-ML-Agents

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git clone https://github.com/xkiwilabs/DQN-using-PyTorch-and-ML-Agents.git

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[email protected]:xkiwilabs/DQN-using-PyTorch-and-ML-Agents.git

Download ZIP

Download master.zip

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