HF RL Explorer

Task: Implement an MLP Architecture Selection Module

Task: Implement an MLP Architecture Selection Module: a task in Terminal-Lego-15k (Harbor dataset). Create a Python module that implements heuristic-based methods for selecting the number of hidden layers and the number of neurons in each hidden layer for a Multi-Layer Perceptron (MLP) neural…

The task

Create a Python module that implements heuristic-based methods for selecting the number of hidden layers and the number of neurons in each hidden layer for a Multi-Layer Perceptron (MLP) neural network.

Part of PrimeIntellect/Terminal-Lego-15k.