8. What Is Seed

In machine learning and particularly in reinforcement learning, setting a seed ensures the reproducibility of results. When you set a seed for random number generators, it guarantees that the sequence of random numbers generated will be the same each time you run the code. This is crucial for debugging and comparing the performance of different models.

seed is a value that you can specify to initialize the random number generator used by PyTorch. Here's an example of how to set the seed:

Related Problems:

- Why Do We Create Two Networks (Local and Target) in Deep Q-Learning? Beginner
- Softmax Activation: Understanding Probability Distributions in Neural Networks Medium
- Neural Network Optimization: Is More Neurons Always Better? Beginner
- Determining the Right Number of Hidden Layers Medium