RAM adopts RNNs and reinforcement learning (RL) to make the network learn where to pay attention.

**TD-Gammon** is a game-learning architecture for playing backgammon. It involves the use of a $TD\left(\lambda\right)$ learning algorithm and a feedforward neural network.

Credit: [Temporal Difference Learning and
TD-Gammon](https://cling.csd.uwo.ca/cs346a/extra/tdgammon.pdf)

TD-Gammon

Recurrent Models of Visual Attention

The composed video retrieval (CoVR) task is a new task, where the goal is to find a video that matches both a query image and a query text. The query image represents a visual concept that the user is interested in, and the query text specifies how the concept should be modified or refined. For example, given an image of a fountain and the text _during show at night_, the CoVR task is to retrieve a video that shows the fountain at night with a show.

Source	Recurrent Models of Visual Attention
Year	2000
Data Source	CC BY-SA - https://paperswithcode.com

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What is: Recurrent models of visual attention?

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