What reinforcement learning algorithms are supported?

The skill includes nine algorithms: Decision Transformer, Q-Learning, SARSA, Actor-Critic, Active Learning, Adversarial Training, Curriculum Learning, Federated Learning, and Multi-Task Learning.

Can I train agents using existing historical data?

Yes, by using the Decision Transformer template, you can implement offline reinforcement learning to train agents on historical logs and expert demonstrations without requiring live environment interaction.

Is this skill suitable for multi-agent systems?

Absolutely. It is designed to work with the AgentDB orchestration platform to coordinate autonomous workflows and distributed swarm intelligence.

How fast is the training process?

Thanks to WASM-accelerated neural inference, these plugins can perform training and inference 10-100x faster than standard JavaScript implementations.

AgentDB Learning Plugins

Name: AgentDB Learning Plugins
Author: EarthmanWeb

byEarthmanWeb

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データサイエンスとML

Integrates nine reinforcement learning algorithms to build autonomous, self-improving AI agents within the Claude ecosystem.

AgentDB Learning Plugins provide a comprehensive toolkit for implementing reinforcement learning directly within Claude's workflow. By leveraging nine distinct algorithms—ranging from Decision Transformers for offline learning to Actor-Critic for continuous control—developers can create intelligent agents that evolve through experience rather than static prompting. This skill is essential for building autonomous swarms, optimizing complex decision-making processes, and implementing human-in-the-loop learning systems, all powered by WASM-accelerated neural inference for maximum performance.

主な機能

01Support for offline reinforcement learning to train agents using historical log data.

02Interactive CLI wizard for rapid plugin generation and template management.

032 GitHub stars

04Nine specialized RL algorithms including Decision Transformer, Q-Learning, and SARSA.

05WASM-accelerated neural inference for up to 100x faster model training and execution.

06Advanced training modules for Curiosity-Driven exploration and Curriculum Learning.

ユースケース

01Implementing imitation learning from expert demonstrations to automate complex tasks.

02Training autonomous agents to optimize multi-step workflows through trial and error.

03Developing robust agents using adversarial training for security and safety-critical apps.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add earthmanweb/claude-flow-plugin agentdb-learning

For use in Claude.ai and ChatGPT

Download Skill