Simulation Overview
Last updated
Last updated
The simulator is the part of the agent system ecosystem that tells you what will happen when you take a certain action. Whether based on historical data, physical principles, and math, or other methods, the simulation environment models the real system and allows your agent systems to train.
To look under the hood and see how a simulator works, explore Composabl's public Python simulators hosted on Docker Hub.
You can build and train agent systems using these simulations to explore Composabl, educate yourself and your team, and create demonstrations and POCs. These are relatively simple simulations that can train agent systems quickly.
The best way to access these simulations is through the CLI.
To see the options available:
To connect to one of the simulators:
If you have a simulator, this section of the documentation will explain how to connect it to Composabl so that you can use it to train agent systems.
If you don’t have a simulator, you may want to work with a Composabl partner to help you develop and connect one.
for more information about finding a simulation partner.