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random-selection

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Vikhorz / optimal-path-qlearning

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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.

python reinforcement-learning deep-learning q-learning artificial-intelligence epsilon-greedy dijkstra optimal-path random-selection spyder-python-ide
  • Updated Aug 9, 2025
  • Python

ori88c / non-replacement-random-item-sampler

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An efficient random item sampler that ensures O(1) sampling complexity, and equal selection probability for all items across cycles. Each cycle ensures unique, non-repeating item selections, with each item sampled only once per cycle. Upon cycle completion, the sampler automatically refreshes, initiating a new cycle to repeat the process.

random constant-time sampling sampler shuffle cycles random-shuffle random-sample rounds random-select random-permutations random-selection random-samples no-repetitions random-item random-selector efficient-sampling non-replacement random-element
  • Updated Nov 10, 2024
  • TypeScript

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