Algorithm Families

Welcome to the Algorithm Kit! Here you can explore all available algorithm families and their implementations.

Available Families

Control Algorithms

📋 Planned

Control algorithms provide methods to regulate system behavior, maintain desired outputs, and ensure stability under various operating conditions.

5 algorithms Explore →

Dynamic Movement Primitives

📋 Planned

Dynamic Movement Primitives provide a framework for learning, representing, and reproducing complex motor behaviors in robotics and control systems.

14 algorithms Explore →

Dynamic Programming

🚧 In Progress (33%)

Dynamic Programming solves complex problems by breaking them into overlapping subproblems with optimal substructure.

3 algorithms Explore →

Gaussian Process

📋 Planned

Gaussian Process algorithms provide probabilistic machine learning methods for regression, classification, and optimization with uncertainty quantification.

6 algorithms Explore →

Hierarchical Reinforcement Learning

📋 Planned

Hierarchical Reinforcement Learning decomposes complex tasks into simpler subtasks using temporal abstraction and multi-level decision making.

6 algorithms Explore →

Model Predictive Control

📋 Planned

Model Predictive Control optimizes control actions by solving constrained optimization problems over a prediction horizon.

7 algorithms Explore →

Planning Algorithms

📋 Planned

Planning algorithms solve sequential decision problems by finding optimal sequences of actions to achieve goals from initial states.

7 algorithms Explore →

Real-time Control

📋 Planned

Real-time control algorithms provide deterministic, time-critical control solutions for systems requiring guaranteed response times and predictable behavior.

4 algorithms Explore →

Reinforcement Learning

📋 Planned

Reinforcement Learning enables agents to learn optimal behavior through interaction with an environment using rewards and penalties.

6 algorithms Explore →

Getting Started

1. Browse by Family: Click on any family card above to explore its algorithms
2. Search: Use the search bar at the top to find specific algorithms or concepts
3. API Reference: Check the API documentation for implementation details

Contributing

Want to add a new algorithm or family? Check out our Contributing Guide for details on how to get involved.