diff --git a/README.md b/README.md
index cc3cee7..53dc8b1 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,79 @@
 # Homework 5
 
-## Install Necessary Packages
+## Run in host
+
+### Install Necessary Packages
+
+```
 conda create -n hw5 python=3.11 -y
 conda activate hw5
-pip install -r requirements.txt
\ No newline at end of file
+pip install -r requirements.txt
+```
+
+### Training & Evaluation
+
+Training
+```
+python pacman.py
+```
+
+Evaluation
+```
+python pacman.py --eval --eval_model_path submissions/pacma_dqn.pt
+```
+
+## Run in Docker container
+
+### Install docker
+
+Follow [Docker docs](https://docs.docker.com/engine/install/ubuntu/#install-using-the-repository)
+
+### Install NVIDIA Container Toolkit (if you haven't install)
+
+We should install NVIDIA Container Toolkit first, so that we can use GPU in Docker containers.
+
+The instructions below are followed [NVIDIA tutorial](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html)
+
+1. Configure the repository
+    ```
+    curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
+    && curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
+        sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
+        sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list \
+    && \
+        sudo apt-get update        
+    ```
+2. Install toolkit
+    ```
+    sudo apt-get install -y nvidia-container-toolkit
+    ```
+3. configure (docker)
+    ```
+    sudo nvidia-ctk runtime configure --runtime=docker
+    sudo systemctl restart docker
+    ```
+4. test (running a sample workload)
+    ```
+    sudo docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi
+    ```
+    if this container run nvidia-smi successfully and you can see your NVIDIA graphic card's name, it means that docker can run containers with GPU drivers
+
+### Start Docker Container 
+
+```
+docker run -it --runtime=nvidia --gpus all snsd0805/ntu-ai-hw5
+```
+
+This docker image's build file is `Dockerfile` in this directory.
+
+### Training & Evaluation
+
+Training
+```
+python pacman.py
+```
+
+Evaluation
+```
+python pacman.py --eval --eval_model_path submissions/pacma_dqn.pt
+```