Clear Filters
Clear Filters

How to use OpenSim library to create a custom reinforcement learning environment in Matlab?

20 views (last 30 days)
Hello everyone,
For my research I need to create a custom environment for my RL agent in OpenSim software using the OpenSim API in Matlab. I am wondering whether there is any guidelines to do that. Generally, I am wondering how I can create my own environment using a third-party library in Matlab. Any help is appreciated so much.

Answers (1)

Suraj Kumar
Suraj Kumar on 4 Sep 2024
Hi Masoud,
To create a custom reinforcement learning environment in MATLAB, you can configure MATLAB by adding the OpenSim library using the addpath function in MATLAB.
Then you can define the structure of the environment and load the OpenSim model.
import org.opensim.modeling.*
model = Model('model.osim');
state = model.initSystem();
Implement the core functions like the step function to update the environment and the reset function to reset the environment to its initial state.Then you can define the custom reinforcement environment using rlFunctionEnv function and train the RL agent in the environment.
env = rlFunctionEnv(obsInfo, actInfo, 'stepFcn', 'resetFcn');
trainResults = train(agent, env, trainOpts);
To know more about the rlFunctionEnv or ‘addpath function in MATLAB, you can refer the following documentations:
Hope this will be useful.

Products


Release

R2021b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!