Challenges and Opportunities in Reinforcement Learning Research
Introduction Reinforcement Learning (RL) is a fascinating paradigm of machine learning that focuses on how agents ought to take actions in an environment to maximize cumulative rewards. Unlike supervised learning, where models learn from labeled datasets, RL deals with sequential decision-making problems where an agent learns through interactions with its environment. This powerful approach has […]