7 results
Ranked from CortexLab’s local platform index and published content.
01
model
→02Q-Learning
An off-policy temporal-difference method that learns action values from reward transitions.
model
→03Support Vector Machine
Finds a maximum-margin decision boundary and can use kernels for nonlinear separation.
model
→04Contextual Bandit
Chooses among actions using context while learning from immediate reward.
model
→05Multilayer Perceptron
A stack of learned affine transformations and nonlinearities that approximates complex functions.
model
→06Isolation Forest
Detects anomalies by how quickly random trees isolate a point.
model
→07XGBoost
Regularized gradient boosting engineered for strong tabular performance and efficient training.
model
→Graph Neural Network
Learns node/edge representations by passing messages across graph neighborhoods.