Reptile Algorithm

The Reptile algorithm is a meta-learning approach focused on efficiently training neural networks with limited data, achieving rapid adaptation to new tasks. Current research explores its application in diverse areas, including optimizing convolutional neural networks for regression problems like cloud energy consumption prediction and reinforcement learning for video game AI, often comparing its performance against established algorithms like PPO and DQN. This algorithm's ability to improve model performance with minimal training data holds significant promise for resource-constrained applications and situations requiring rapid adaptation, impacting fields ranging from energy efficiency to artificial intelligence.