caffeinate -i docker run --name star-ways-container -it my-app /bin/bash

When in Docker you want to build the image

docker build -t starways:latest .

When you want to generate a container to build the image

caffeinate -i docker run --name starwayscontainer -it my-app /bin/bash

When you want to run only the container

caffeinate -i docker exec -it starwayscontainer /bin/bash

--- Folder Structure --- .DS_Store Dockerfile README.md alien-icon-damage.png alien-icon.avif alien-icon.png bg-space.jpg blackhole.jpg constants.py [docs] └── .project_structure_ignore main.py [npyfiles] ├── 5013658704q_table.npy ├── 5014805584q_table.npy ├── 5019704496q_table.npy ├── 5041905104q_table.npy ├── 5047082448q_table.npy ├── 5048786000q_table.npy ├── 5054995920q_table.npy ├── 5073099856q_table.npy ├── 5074574416q_table.npy └── q_table.npy q_learning.py q_table.npy requirements.txt starways_env.py ufo.webp

--- File: Dockerfile ---

Use the official NVIDIA CUDA runtime image with Python support

FROM nvidia/cuda:11.2.2-cudnn8-runtime-ubuntu20.04

Set the working directory

WORKDIR /app

Copy the requirements.txt file and install dependencies

COPY requirements.txt . RUN apt-get update && apt-get install -y python3-pip RUN pip3 install --no-cache-dir -r requirements.txt

Copy the rest of the application code

COPY . .

Command to run your Python script

CMD ["python3", "main.py"]

Video Demonstration

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