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Reinforcement Learning

Reinforcement Learning

Definition

Reinforcement Learning (RL) is one of the three core machine learning paradigms. It learns optimal policies through agent-environment interaction, where agents continuously adjust their strategies based on reward feedback to maximize cumulative rewards.

Usage Example

AlphaGo defeated world Go champion Lee Sedol using deep reinforcement learning.

Related Terms

Deep LearningPolicy GradientQ-Learning
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Related terminology

Gradient Descent

Gradient descent is the most fundamental optimization algorithm in machine learning. It iteratively updates parameters along the negative gradient of the loss function to minimize the loss value. It is the core method for training neural networks.