Policy Deployment

Code generation and deployment of trained policies

Once you train a reinforcement learning agent, you can generate code to deploy the optimal policy. For example, using MATLAB^® Coder™ and GPU Coder™, you can generate C++ or CUDA^® code and deploy neural network policies on embedded platforms.

For an introduction to deploying agents, see Deploy Trained Reinforcement Learning Policies.

Functions

`generatePolicyFunction`	Generate MATLAB function that evaluates policy of an agent or policy object
`generatePolicyBlock`	Generate Simulink block that evaluates policy of an agent or policy object

Blocks

Policy

Reinforcement learning policy (Since R2022b)

Topics

Deploy Trained Reinforcement Learning Policies
You can generate code for reinforcement learning agents using, for example, GPU Coder or MATLAB Coder.

Featured Examples

Generate Policy Block for Deployment

Generate a policy block to deploy a trained policy.

Open Live Script

Run SIL and PIL Verification for Reinforcement Learning

Verify a reinforcement learning agent in software-in-the-loop and processor-in-the-loop modes.

Open Live Script