**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)

Differentiable simultaneous optimization of hyperparameters and neural network architecture. Also a [Neural Architecture Search](https://paperswithcode.com/method/neural-architecture-search) (NAS) method.

Differentiable Hyperparameter Search

sharpDARTS: Faster and More Accurate Differentiable Architecture Search

TD-Gammon

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

Year	1992
Data Source	CC BY-SA - https://paperswithcode.com