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What is Deep Reinforcement Learning?

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Deep Reinforcement Learning is a subset of Machine Learning that combines Deep Learning and Reinforcement Learning. It involves training AI models to make decisions and take actions based on feedback from their environment. Deep Reinforcement Learning has shown promise in applications such as autonomous vehicles, robotics, and game-playing.

Other Definitions

Instance-Based Learning

Instance-Based Learning is an AI approach where models make predictions based on similarity to previously seen examples. Instead of generalising from a predefined set…

Transfer Learning

Transfer Learning is a technique that allows AI models to apply knowledge gained from one task to another related task. By leveraging pre-trained models…

Convolutional Neural Network

A convolutional neural network is a powerful deep learning model designed for processing and analysing visual data. It excels in tasks such as image…

Object Detection

Object Detection is an AI technique that identifies and localises objects within an image or video. It involves analysing the visual data and assigning…
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