Apart from supervised and unsupervised learning, there is also reinforcement learning. Reinforcement learning is another important paradigm in deep learning where an agent learns to interact with an environment and receives rewards or penalties based on its actions. The agent then adjusts its behavior to maximize the cumulative reward over time.