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optimal-path

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Implementation of Q-Learning and Double Q-Learning for optimal pathfinding in large, dynamic environments. Uses reward shaping and adaptive exploration. Compares RL performance with Dijkstra and random selection, showing Q-Learning's scalability and superior cumulative rewards.

  • Updated Aug 9, 2025
  • Python

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