 Smart grids are the current trend in power systems with artificial intelligence, AI, playing a key role in their development. Deep learning, DL, reinforcement learning, RL, and deep reinforcement learning, DRL, are among the most advanced AI techniques and are increasingly used in smart grids. DL, RL, and DRL can be applied to various aspects of smart grids such as energy management, demand response, renewable energy integration, and electric vehicle charging. Researchers are also exploring the use of these AI techniques in other areas of smart grids, including network optimization, fault detection and diagnosis, and cybersecurity. This article was authored by Dong Xiaoxiang, Xiaoqing Han, and Chunyu Deng.