Speeding Up Reinforcement Learning
Deep reinforcement learning is a powerful tool, but it's held back by its high computational demands. This makes it tough to use in real-world applications. One way to tackle this problem is by reducing the size of the neural networks used in reinforcement learning. However, most current methods for