A Learning Agent in AI is a type of intelligent system that improves its performance over time by learning from experience. It consists of key components: a learning element, performance element, critic, and problem generator. The learning element adapts based on feedback, while the performance element makes decisions. Learning agents are widely used in applications like robotics, game playing, and recommendation systems. https://www.youngurbanproject.....com/learning-agent-i

Learning Agent in AI Explained (2025 Guide + Examples)
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Learning Agent in AI Explained (2025 Guide + Examples)

A learning agent in AI is a system that improves its performance by learning from experience. It observes the environment, evaluates outcomes, and updates its internal knowledge to make better decisions over time.