Distributed Deep RL training using RLLIB on Azure.

The code in this repository acts as a sample project for running distributed reinforcement learning jobs on Azure using Ray's RLLIB. To run the project from your machine, the following steps should be satisfied.

Pre-requisities

• Azure ML Workspace
• Compute instance for triggering Job
• Compute cluster for running the training job.

Steps

• Login to your Azure account and create an Azure ML workspace.
• Create a compute instance (LINUX)
• git clone this repo into the workspace.
• Run the below command to create a compute cluster

python infra/cluster.py

• To run the single agent DQN training, run the below command

python dqn.py

• To run the training Job, run the below command

python run_experiment.py

Optional

• You can run the RL job in local machine by running the below command. In local mode the script uses the developer workstation to spin-off workers (1 by default).

python run_tune_local.py