What is the benefit of WASM-accelerated inference?

WASM-accelerated inference allows the neural models to run 10-100x faster directly in the browser or Node.js environment without requiring heavy external dependencies or specialized GPU hardware for smaller models.

Which reinforcement learning algorithms are included?

The skill includes 9 algorithms: Decision Transformer, Q-Learning, SARSA, Actor-Critic, Active Learning, Adversarial Training, Curriculum Learning, Federated Learning, and Multi-Task Learning.

How do I integrate this into an existing project?

You can use the provided CLI command 'npx agentdb create-plugin' to generate a template, or use the 'agentic-flow' adapter API to store experiences and trigger training programmatically.

Can I use this for offline learning?

Yes, the Decision Transformer algorithm is specifically designed for offline reinforcement learning, allowing you to train models using historical logs and expert demonstrations.

Is reinforcement learning knowledge required?

While the CLI provides templates to get started quickly, a basic understanding of RL concepts like states, actions, and rewards is recommended for fine-tuning agent performance.

AgentDB Reinforcement Learning

Name: AgentDB Reinforcement Learning
Author: nbossn

bynbossn

0•

Data Science & ML

Trains autonomous agents using nine reinforcement learning algorithms to optimize decision-making and agent behavior through experience.

The AgentDB Learning skill provides a comprehensive framework for implementing reinforcement learning (RL) within Claude Code. It offers access to nine specialized algorithms, ranging from offline sequence modeling with Decision Transformers to value-based Q-Learning and policy gradient Actor-Critic methods. By utilizing WASM-accelerated neural inference, this skill allows developers to create agents that improve 10-100x faster than traditional implementations. Whether you are building self-correcting automation scripts, game-playing agents, or complex multi-task systems, this skill provides the CLI and API tools necessary to collect experience, train models, and deploy high-performance learning plugins.

Key Features

010 GitHub stars

02Support for 9 RL algorithms including Decision Transformer, SARSA, and Actor-Critic

03WASM-accelerated neural inference for high-speed local training and execution

04Advanced training capabilities including Experience Replay and Curriculum Learning

05Interactive CLI wizard for rapid plugin generation and template management

06Seamless integration with agentic-flow reasoning for hybrid learning-reasoning behaviors

Use Cases

01Building agents that learn optimal workflows from historical user demonstration data

02Implementing privacy-preserving collaborative learning across distributed multi-agent systems

03Optimizing resource allocation and navigation tasks in dynamic environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base agentdb-learning

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Support for 9 RL algorithms including Decision Transformer, SARSA, and Actor-Critic

03WASM-accelerated neural inference for high-speed local training and execution

04Advanced training capabilities including Experience Replay and Curriculum Learning

05Interactive CLI wizard for rapid plugin generation and template management

06Seamless integration with agentic-flow reasoning for hybrid learning-reasoning behaviors

Use Cases

01Building agents that learn optimal workflows from historical user demonstration data

02Implementing privacy-preserving collaborative learning across distributed multi-agent systems

03Optimizing resource allocation and navigation tasks in dynamic environments