self-healing-rl-pipeline — tool profile and history

Autonomous self-healing recommendation system. Multi-agent A2A architecture with Monitor, Diagnostics, Repair, and Verification agents that detect drift, diagnose root cause, and retrain a DQN policy without human intervention.

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Language
Python
License
MIT
Created
Last activity
Topics
  • a2a
  • agent-architecture
  • dqn
  • drift-detection
  • fastapi
  • langsmith
  • mcp
  • multi-agent
  • pytorch
  • recommender-system
  • reinforcement-learning
  • self-healing
  • streamlit

Current measurement

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measured growth

Momentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.

Reading history

90 days · 90 maximum readings
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Classifications

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Type
Agents
Use cases
  • No declared use case

These entries declare the same topics. No similarity is inferred: only the shared topics are stated.