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Define how an agent interacts with an environment model.
- Components of a reinforcement learning model
- Defining an environment interface
- Rewards and training
- Including actions in the reward
- Connecting a Simulink environment to a MATLAB agent
Create representations of reinforcement learning agents.
- Critics and Q values
- Representing critics for continuous problems
- Creating neural networks
- Actors and critics
- Summary of agents