diff --git a/README.md b/README.md
index e760f8d..d976e0b 100644
--- a/README.md
+++ b/README.md
@@ -54,6 +54,40 @@ Notes:
 - Windows
 	- Navigate to the `AirSim/` directory, and double-click `run.bat` (or `AirSimExe.exe -windowed`)
 
+## Docker
+- Dockerfile:   
+	We provide a sample [dockerfile](docker/Dockerfile) you can modify.   
+	It downloads the training and qualification binaries automatically, and installs the python client.   
+	By default, it uses Ubuntu 18.04 and CUDA 10.0 with OpenGL, and is build on top of [nvidia/cudagl:10.0-devel-ubuntu18.04](https://hub.docker.com/r/nvidia/cudagl).    
+	This can be changed of course, as explained in the following section. 
+
+- Building the docker image:    
+	You can use [build_docker_image.py](docker/build_docker_image.py) to build the dockerfile above (or your own custom one)    
+	
+	**Usage** (with default arguments)
+	```shell
+	cd docker/;
+	python3 build_docker_image.py \
+		--dockerfile Dockerfile \
+		--base_image nvidia/cudagl:10.0-devel-ubuntu18.04 \
+		-- target_image airsim_neurips:10.0-devel-ubuntu18.04
+	```
+- Running the docker image:
+	See [docker/run_docker_image.sh](docker/run_docker_image.sh) to run the docker image:
+	**Usage**
+	- for running default image, training binaries, in windowed mode:    
+	    `$ ./run_docker_image.sh "" training` 
+	- for running default image, qualification binaries, in windowed mode:    
+	    `$ ./run_docker_image.sh "" qualification` 
+	- for running default image, training binaries, in headless mode:    
+	    `$ ./run_docker_image.sh "" training headless`
+	- for running default image, qualification binaries, in headless mode:    
+	    `$ ./run_docker_image.sh "" qualification headless`
+	- for running a custom image in windowed mode, pass in you image name and tag:    
+	    `$ ./run_docker_image.sh DOCKER_IMAGE_NAME:TAG`
+	- for running a custom image in headless mode, pass in you image name and tag, followed by "headless":    
+	     `$ ./run_docker_image.sh DOCKER_IMAGE_NAME:TAG headless`
+
 ## AirSim API
 - To control your drone and get information from the environment, you will need the `airsimneurips` API, which is accessible via Python.   
 We recommend you used python >= 3.6. Python 2.7 will go [out of support soon](https://pythonclock.org/)
diff --git a/docker/Dockerfile b/docker/Dockerfile
new file mode 100644
index 0000000..3e3862a
--- /dev/null
+++ b/docker/Dockerfile
@@ -0,0 +1,39 @@
+ARG BASE_IMAGE=nvidia/cudagl:10.0-devel-ubuntu18.04
+FROM $BASE_IMAGE
+
+RUN apt-get update
+RUN apt-get install \
+	git \ 
+	libglu1-mesa-dev \
+	pulseaudio \
+	python3 \
+	python3-pip \
+	sudo \
+	sudo \
+	wget \ 
+	x11-xserver-utils \
+	xdg-user-dirs \
+	unzip \
+	-y --no-install-recommends
+
+RUN pip3 install setuptools wheel
+RUN pip3 install airsimneurips
+
+RUN adduser --force-badname --disabled-password --gecos '' --shell /bin/bash airsim_user && \ 
+	echo '%sudo ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers && \ 
+	adduser airsim_user sudo && \ 
+	adduser airsim_user audio && \ 
+	adduser airsim_user video
+
+USER airsim_user
+ENV USER airsim_user
+WORKDIR /home/airsim_user
+RUN sudo chown -R airsim_user /home/airsim_user
+
+RUN git clone https://github.com/microsoft/AirSim-NeurIPS2019-Drone-Racing && \
+	cd AirSim-NeurIPS2019-Drone-Racing && \
+	bash download_training_binaries.sh && \
+	bash download_qualification_binaries.sh && \
+	mv AirSim_Training/ ../ && \
+	mv AirSim_Qualification/ ../ && \
+	cd ../
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diff --git a/docker/build_docker_image.py b/docker/build_docker_image.py
new file mode 100644
index 0000000..14bcfc8
--- /dev/null
+++ b/docker/build_docker_image.py
@@ -0,0 +1,36 @@
+from argparse import ArgumentParser
+import subprocess
+
+class DockerImageBuilder():
+    def __init__(self, args):
+        self.args = args        
+
+    def build_docker_image(self):
+        # if a base image is not specified, we use the Ubuntu 18, CUDA 10 image from NVIDIA
+        docker_build_command = ['docker', 'build', '--network=host', \
+                            '-t', self.args.target_image, \
+                            '-f',  self.args.dockerfile, \
+                            '--build-arg', 'BASE_IMAGE=' + self.args.base_image, \
+                            '.']
+
+        print(" ".join(docker_build_command))
+        subprocess.call(docker_build_command)
+
+def main(args):
+    docker_image_builder = DockerImageBuilder(args)
+    docker_image_builder.build_docker_image()
+
+if __name__=="__main__":
+    parser = ArgumentParser(description='AirSim Neurips-Game-of-Drones docker image builder')
+    parser.add_argument('--dockerfile', type=str, default='Dockerfile', help='path to docker file')
+    parser.add_argument('--base_image', type=str, default="nvidia/cudagl:10.0-devel-ubuntu18.04", help='base image name AND tag, on top of which the target image is built')
+    parser.add_argument('--target_image', type=str, help='desired name of target image name AND tag')
+
+    args = parser.parse_args()
+
+    # if a target image name is not specified, let's call it airsim_neurips:SOURCE_IMAGE_TAG
+    if not args.target_image:
+        target_image_tag = args.base_image.split(":")[1] 
+        args.target_image = 'airsim_neurips' + ':' + target_image_tag
+
+    main(args)
\ No newline at end of file
diff --git a/docker/run_docker_image.sh b/docker/run_docker_image.sh
new file mode 100755
index 0000000..ce699e8
--- /dev/null
+++ b/docker/run_docker_image.sh
@@ -0,0 +1,79 @@
+# !bin/bash
+
+# **Usage**
+# - for running default image, training binaries, in windowed mode:    
+#     `$ ./run_docker_image.sh "" training` 
+# - for running default image, qualification binaries, in windowed mode:    
+#     `$ ./run_docker_image.sh "" qualification` 
+# - for running default image, training binaries, in headless mode:    
+#     `$ ./run_docker_image.sh "" training headless`
+# - for running default image, qualification binaries, in headless mode:    
+#     `$ ./run_docker_image.sh "" qualification headless`
+# - for running a custom image in windowed mode, pass in you image name and tag:    
+#     `# $ ./run_docker_image.sh DOCKER_IMAGE_NAME:TAG`
+# - for running a custom image in headless mode, pass in you image name and tag, followed by "headless":    
+#     # $ ./run_docker_image.sh DOCKER_IMAGE_NAME:TAG headless
+
+# This script takes three optional arguments
+
+# 1st argument is the name (and tag) of the dockerfile to run
+# by default, it is set to "airsim_neurips:10.0-devel-ubuntu18.04"
+# else user can specify a docker image as follows:
+# $ ./run_docker_image.sh DOCKER_IMAGE_NAME:TAG
+DOCKER_IMAGE_NAME=${1:-airsim_neurips:10.0-devel-ubuntu18.04}
+
+# 2nd argument: can be "training" or "qualification"
+TRAINING_OR_QUALIFICATION=${2:-training}
+
+# 3rd argument: if user passes "headless", binary runs in headless mode
+IS_HEADLESS=${3:-notheadless}
+
+# this block is for running X apps in docker
+XAUTH=/tmp/.docker.xauth
+if [[ ! -f $XAUTH ]]
+then
+    xauth_list=$(xauth nlist :0 | sed -e 's/^..../ffff/')
+    if [ ! -z "$xauth_list" ]
+    then
+        echo $xauth_list | xauth -f $XAUTH nmerge -
+    else
+        touch $XAUTH
+    fi
+    chmod a+r $XAUTH
+fi
+
+# per use the following commented out code for different options
+if [[ $2 = "training" ]]; then 
+    UNREAL_BINARY_COMMAND="bash /home/airsim_user/AirSim_Training/AirSimExe.sh -windowed -opengl"
+elif [[ $2 = "qualification" ]]; then 
+    UNREAL_BINARY_COMMAND="bash /home/airsim_user/AirSim_Qualification/AirSimExe.sh -windowed -opengl"
+fi
+
+# eleminate terminal output and run airsim process in the background
+# UNREAL_BINARY_COMMAND="bash /home/airsim_user/AirSim_Training/AirSimExe.sh -windowed -opengl &>/dev/null &"
+
+# set window resolution
+# UNREAL_BINARY_COMMAND="/home/airsim_user/AirSim_Training -windowed -ResX=1080 -ResY=720"
+
+# now, let's check if we need to run in headless mode or not
+# set SDL_VIDEODRIVER_VALUE to '' if windowed mode, 'offscreen' if headless mode
+SDL_VIDEODRIVER_VALUE='';
+if [[ $3 = "headless" ]]; then 
+    SDL_VIDEODRIVER_VALUE='offscreen';
+fi
+
+# now, set the environment varible SDL_VIDEODRIVER to SDL_VIDEODRIVER_VALUE
+# and tell the docker container to execute UNREAL_BINARY_COMMAND
+nvidia-docker run -it \
+    -e SDL_VIDEODRIVER=$SDL_VIDEODRIVER_VALUE \
+    -e SDL_HINT_CUDA_DEVICE='0' \
+    --net=host \
+    --env="DISPLAY=$DISPLAY" \
+    --env="QT_X11_NO_MITSHM=1" \
+    --volume="/tmp/.X11-unix:/tmp/.X11-unix:rw" \
+    -env="XAUTHORITY=$XAUTH" \
+    --volume="$XAUTH:$XAUTH" \
+    --runtime=nvidia \
+    --rm \
+    $DOCKER_IMAGE_NAME \
+    /bin/bash -c "$UNREAL_BINARY_COMMAND"
\ No newline at end of file