AgentDB Learning Plugins
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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A Claude Code skill that exposes AgentDB's nine reinforcement learning algorithms through a plugin system, covering Decision Transformer, Q-Learning, SARSA, Actor-Critic, and others. It documents a create-train-evaluate workflow with CLI and API usage, plus advanced techniques like experience replay and multi-agent training.
Use it when you want to build or optimize self-learning agents without hand-rolling RL from scratch.
Use it to
- Create and train a learning plugin via CLI
- Pick an RL algorithm for discrete or continuous actions
- Run a collect-train-evaluate training loop
- Apply curriculum or federated learning to hard tasks
- Troubleshoot plugin training issues
For Agent developers with basic reinforcement learning knowledge
- Host repository
- ruvnet/RuView
- Host stars
- 94k
- Host language
- Rust