pseudo-code-algorithm

What problem does it solve?

Generate publication-quality pseudo-code for ML, RL, and evolutionary-algorithm methods in LaTeX (algpseudocode/algorithm) or Markdown formats, helping researchers produce consistent, ready-to-submit algorithm boxes without starting from scratch.

Core Features & Use Cases

• Domain-aware formatting for neural networks, reinforcement learning, and evolutionary algorithms.
• Output format choice between algpseudocode/algorithm and algorithm2e with clear inputs/outputs and line numbering.
• Use Case: create a complete, publication-ready Algorithm block for Adam optimizer, Q-learning, or CMA-ES from a natural-language description.

Quick Start

Ask it to generate a LaTeX or Markdown pseudocode block for a chosen ML/RL/EA algorithm.