HAN Autonomous Learning Engine
This model enables humanoid agents to learn continuously from experience without explicit retraining cycles.
It adapts behavior based on outcomes, feedback, and environmental changes.
Capabilities
- Continuous learning
- Experience-based adaptation
- Self-improvement loop
Use Cases
- Long-term autonomy
- Dynamic environments
- Lifelong learning systems
Part of
Humanoid Network (HAN)
License
MIT
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