feat: add docker container (#379)

This pull request adds a docker container that can be used to run the
SLC package. This was done to improve the reproducibility of results.

.devcontainer/devcontainer.json

@@ -0,0 +1,26 @@
+// For format details, see https://aka.ms/devcontainer.json. For config options, see the
+// README at: https://github.com/devcontainers/templates/tree/main/src/docker-existing-dockerfile
+{
+	"name": "Existing Dockerfile",
+	"build": {
+		"context": "..",
+		"dockerfile": "../Dockerfile"
+	},
+	"runArgs": [
+		"-e",
+		"DISPLAY=${localEnv:DISPLAY}",
+		"-v",
+		"/tmp/.X11-unix:/tmp/.X11-unix:ro"
+	],
+	"customizations": {
+		"vscode": {
+			"extensions": [
+				"ms-python.python"
+			]
+		},
+		"settings": {
+			"python.pythonpath": "/opt/conda/envs/han2020/bin/python"
+		}
+	},
+	"postCreateCommand": "echo 'If you need to run GUI applications inside this Docker container, remember to execute `xhost +local:docker` on your host machine to enable X11 forwarding. You can remove it again with `xhost -local:docker` when you are done.'"
+}

Dockerfile

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+# Use the official Miniconda3 base image
+FROM continuumio/miniconda3:latest
+
+# Set environment variables for Conda
+ENV CONDA_HOME="/opt/conda"
+ENV PATH="$CONDA_HOME/bin:$PATH"
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    libopenmpi-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+# Create a Conda environment with Python 3.10
+RUN conda create -n slc python=3.10
+
+# Activate the Conda environment
+SHELL ["conda", "run", "-n", "slc", "/bin/bash", "-c"]
+
+# Copy the repo code into the Docker image
+COPY . /stable-learning-control
+
+# Clone stable-gym package
+RUN git clone https://github.com/rickstaa/stable-gym.git
+
+# Set the working directory
+WORKDIR /stable-learning-control
+
+# Install mpi4py using Conda
+# NOTE: Done since the pip version of mpi4py does not to seem to work in a Conda environment.
+RUN conda install mpi4py
+
+# Install slc package
+# RUN pip install -e .
+RUN pip install -e .[mujoco]
+
+# Install the stable-gym package
+RUN pip install -e ../stable-gym
+
+# Add Conda activation to .bashrc (optional)
+RUN echo "source activate slc" >> /root/.bashrc 
+
+# Start the experiments
+ENTRYPOINT ["conda", "run", "--no-capture-output", "-n", "slc", "python", "-m", "stable_learning_control.run"]