AgentDB Learning Plugins
CommunityTrain AI agents with 9 RL algorithms.
Software Engineering#machine learning#ai agents#plugin development#agentdb#reinforcement learning#decision transformer
AuthorArchitectVS7
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables the creation and training of AI learning plugins using a variety of reinforcement learning algorithms, allowing agents to improve their behavior through experience.
Core Features & Use Cases
- Reinforcement Learning Algorithms: Access to 9 distinct RL algorithms including Decision Transformer, Q-Learning, SARSA, and Actor-Critic.
- Plugin System: Create, train, and deploy self-learning plugins for autonomous agents.
- Performance: Features WASM-accelerated neural inference for faster model training.
- Use Case: You are building a game-playing agent. Use this Skill to train an agent using Q-Learning to master the game by learning from its successes and failures.
Quick Start
Use the agentdb CLI to create a new learning plugin for decision transformer.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: AgentDB Learning Plugins Download link: https://github.com/ArchitectVS7/the-pond/archive/main.zip#agentdb-learning-plugins Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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