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n-step

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Reinforcement learning framework for agricultural robots using n step and Double DQN policy learning to optimize spraying, planting, and harvesting decisions. Designed for integration with real machine vision pipelines to enable perception driven, resource efficient autonomous farm labor.

  • Updated Feb 20, 2026
  • Python

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