Reinforcement Learning The Next Step After Supervised Learning
08/03/2025 Community Activities
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Description
Reinforcement Learning (RL) is an advanced machine learning approach that goes beyond supervised learning by enabling systems to learn through trial and error. Unlike supervised learning, which relies on labeled data, RL uses rewards and penalties to optimize decision-making in dynamic environments. It is widely used in robotics, gaming, autonomous systems, and financial modeling. As RL continues to evolve, its applications in real-world problem-solving, such as personalized recommendations and self-driving cars, are expanding rapidly.
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