The Future of AI: Reinforcement Learning’s Role in Innovation
Introduction Reinforcement Learning (RL) is a cornerstone of modern Artificial Intelligence, enabling systems to make decisions through trial and error while interacting with their environment. The challenges in RL include developing agents that can learn optimal policies from sparse and delayed rewards, balancing exploration and exploitation, and ensuring convergence in dynamic environments. This article aims […]