What are the prerequisites for using these plugins?

You will need Node.js 18 or higher, AgentDB v1.0.7 or higher (via agentic-flow), and a basic understanding of reinforcement learning concepts.

Is online interaction required for training models?

No, the Decision Transformer algorithm allows for offline reinforcement learning, enabling agents to learn directly from logged historical data or expert demonstrations without live environment interaction.

What algorithms are included in this skill?

It includes nine algorithms: Decision Transformer, Q-Learning, SARSA, Actor-Critic, Curiosity-driven, Active Learning, Adversarial Training, Curriculum Learning, and Federated Learning.

How does WASM acceleration benefit the training process?

WebAssembly (WASM) acceleration allows for neural inference and model training to occur 10-100x faster than standard JavaScript implementations, making it suitable for performance-heavy applications.

AgentDB Learning Plugins

Name: AgentDB Learning Plugins
Author: Activer007

byActiver007

0•

Ciencia de Datos y ML

Builds and trains self-improving AI agents using nine reinforcement learning algorithms and WASM-accelerated inference.

AgentDB Learning Plugins empower developers to implement advanced reinforcement learning (RL) capabilities directly within their agentic workflows. By providing a suite of nine specialized algorithms—including Decision Transformers for offline learning and Actor-Critic for continuous control—this skill enables the creation of autonomous agents that learn from experience and optimize their behavior over time. Integrated with WASM-accelerated neural inference, it offers significant performance gains for real-time decision-making, while the streamlined CLI and API make it accessible for tasks ranging from robotics simulations to complex multi-agent coordination.

Características Principales

01Integrated CLI wizard for interactive plugin creation and template management

02Advanced training techniques like Prioritized Experience Replay and Federated Learning

03Access to nine RL algorithms including Decision Transformer, Q-Learning, and Actor-Critic

04WASM-accelerated neural inference for 10-100x faster model training

05Support for offline reinforcement learning to learn from historical datasets

060 GitHub stars

Casos de Uso

01Implementing privacy-preserving collaborative learning across distributed systems

02Developing simulations that require continuous control and policy optimization

03Building autonomous agents that improve decision-making through trial and error

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills agentdb-learning-plugins

For use in Claude.ai and ChatGPT

Download Skill