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ML Application · Python

CQC

What it is

CQC is a reinforcement learning project that trains multi-agent agents using a custom transformer-based architecture with convolutional encoding and auxiliary decoders in a grid-based environment. It implements PPO with self-play and distributed TPU training via torch_xla.

Scored from the code at its last scan, 27 Oct 2026. How merit is scored

Where it counts

  • Machine Learning80%
  • AI Agents70%
  • MLOps40%
  • Computer Vision20%
  • NLP & LLMs20%
  • Data Science10%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the Machine Learning board

Whole board
  1. 37, shared rankASTROTraining Experiment · Python55.3/100ImplementationPop Alexandru
  2. 37, shared rankdialoqbase-I6eLML Application · TypeScript55.3/100ImplementationPetr Sovadina
  3. 39, shared ranktc-livive-orgEducational Implementation · HTML54.8/100ImplementationJarad Peckenpaugh
  4. 39, shared rankCQCML Application · Python54.8/100ImplementationMinsung Skystarry
  5. 41ai_chat_distil_01ML Application · HTML54.3/100ImplementationJarad Peckenpaugh