RL with Multiple Agents in distinct environments on AWS

Hello,

From the description, I understand that you are exploring options to run distributed RL on AWS.

You can definitely continue to use SageMaker to achieve your use-case because SageMaker RL supports multi-core and multi-instance distributed training. Depending on your use case, training and/or environment rollout can be distributed. Please refer to the doc to learn more about the same.

Further, you can also refer to the below mentioned blogs that aim to illustrate a similar use-case in SageMaker which should be a good starting point to test the overall setup.

Blog1 Deploying reinforcement learning in production using Ray and Amazon SageMaker

Blog2 Scaling your AI-powered Battlesnake with distributed reinforcement learning in Amazon SageMaker

Therefore, I would recommend exploring the above references to analyze the approach to deploy distributed RL on SageMaker and then make necessary changes to adapt the same for your use-case.