agentdb-learning-plugins

Create and train AI learning plugins using 9 RL algorithms via AgentDB. Enables self-learning agents through experience.

• Access to 9 reinforcement learning algorithms via plugins
• Build self-learning agents that improve through experience
• Supports offline, online, and distributed learning methods
• Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more

• Train models 10-100x faster with WASM-accelerated inference
• Offline RL supports learning from logged experiences
• Value-based and policy gradient methods available
• Safe learning without environment interaction
• Supports discrete and continuous action spaces
• Includes active, federated, and curriculum learning
• Robust to adversarial perturbations
• Privacy-preserving distributed training

1. 1.Install required tools: Node.js 18+, AgentDB v1.0.7+
2. 2.Use CLI or API to create, train, and manage plugins
3. 3.Choose algorithm (e.g., Decision Transformer, Q-Learning)
4. 4.Configure parameters and train with experience data
5. 5.Deploy trained plugin to an agent for real-time learning