How can I debug my C++ game using reinforcement learning?

How can I debug my C++ game using reinforcement learning?

You can start by implementing logging to track the agent's decisions and rewards during training.

What specific tools or libraries should I use for logging?

Consider using libraries like Google’s gRPC for logging or integrating with existing game engines that support debugging.

How do I visualize the agent's learning process?

You can use visualization tools like TensorBoard or Matplotlib to plot the rewards and actions over time.

Are there common pitfalls in reinforcement learning I should be aware of?

Yes, common pitfalls include reward shaping issues, overfitting, and not properly tuning hyperparameters.