![]() Change the kernel to match the rl39 environment by using the drop-down menu Kernel -> Change kernel inside Jupyter Notebook.Python -m ipykernel install -user -name rl39 -display-name "rl39 " ![]() There's a cheatsheet of Conda commands which also work in Mamba. It works almost the same as Conda, but only faster. I also recommend using the Mamba package manager instead of Conda. If you're on Windows I recommend installing Miniforge.To set up your python environment to run the code in the notebooks, follow the instructions below. Getting Started Install Basic Dependencies 3DBall_parallel_environment.ipynb: The same, but now for an environment run in parallel.3DBall.ipynb: This is a simple example to get started with Unity ML Agents & the DDPG Algorithm.Single and parallel environments in Unity ML agents using the Python API.An implementation of the DDPG Algorithm in Python, which works for both single-agent environments and multi-agent environments.This project was created to make it easier to get started with Reinforcement Learning.
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