DQN-using-PyTorch-and-ML-Agents
A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment
How to download and setup DQN-using-PyTorch-and-ML-Agents
Open terminal and run command
git clone https://github.com/xkiwilabs/DQN-using-PyTorch-and-ML-Agents.git
git clone is used to create a copy or clone of DQN-using-PyTorch-and-ML-Agents repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with DQN-using-PyTorch-and-ML-Agents https://github.com/xkiwilabs/DQN-using-PyTorch-and-ML-Agents/archive/master.zip
Or simply clone DQN-using-PyTorch-and-ML-Agents with SSH
[email protected]:xkiwilabs/DQN-using-PyTorch-and-ML-Agents.git
If you have some problems with DQN-using-PyTorch-and-ML-Agents
You may open issue on DQN-using-PyTorch-and-ML-Agents support forum (system) here: https://github.com/xkiwilabs/DQN-using-PyTorch-and-ML-Agents/issuesSimilar to DQN-using-PyTorch-and-ML-Agents repositories
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