Reinforcement Learning and Decision Making

Note: At the moment, only running the code from the docker container (below) is supported. Docker allows for creating a single environment that is more likely to work on all systems. Basically, I install and configure all packages for you, except docker itself, and you just run the code on a tested environment.

To install docker, I recommend a web search for "installing docker on <your os here>". For running the code on a GPU, you have to additionally install nvidia-docker. NVIDIA Docker allows for using a host's GPUs inside docker containers. After you have docker (and nvidia-docker if using a GPU) installed, follow the three steps below.

Running the code

0. Clone this repo: git clone --depth 1 https://www.github.com/mimoralea/gfootball-intro.git && cd gfootball-intro
1. Pull the rldm image with: docker pull mimoralea/rldm:v0.4
2. Spin up a container:
   • On Mac or Linux: docker run -it --rm --shm-size="10GB" -p 8888:8888 -p 6006:6006 -p 8265:8265 -v "$PWD"/notebooks/:/mnt/notebooks/ mimoralea/rldm:v0.4
   • On Windows: docker run -it --rm --shm-size="10GB" -p 8888:8888 -p 6006:6006 -p 8265:8265 -v %CD%/notebooks/:/mnt/notebooks/ mimoralea/rldm:v0.4
   • NOTE: Use nvidia-docker if you are using a GPU.
3. Open a browser and go to the URL shown in the terminal (likely to be: http://localhost:8888). The password is: rldm, Tensorboard is http://localhost:6006, Ray Dashboard is http://localhost:8265.