agentdb learning plugins

SKILL.md

Provides access to 9 reinforcement learning algorithms via AgentDB's plugin system. Create, train, and deploy learning plugins for autonomous agents that improve through experience. Includes offline RL (Decision Transformer), value-based learning (Q-Learning), policy gradients (Actor-Critic), and advanced techniques.

Performance: Train models 10-100x faster with WASM-accelerated neural inference.

Type: Offline Reinforcement Learning Best For: Learning from logged experiences, imitation learning Strengths: No online interaction needed, stable training

使用 AgentDB 的 9 种强化学习算法创建和训练 AI 学习插件。包括决策转换器、Q-Learning、SARSA、Actor-Critic 等。在构建自学习代理、实施强化学习或通过经验优化代理行为时使用。 来源：microck/ordinary-claude-skills。

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