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reward-optimization

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suraj5424 / Q-Learning-for-Blackjack-in-different-environments

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This repository implements Q-Learning in Blackjack, comparing it with random action selection and basic strategies. Includes experiments with various strategies, rule variations, and deck numbers to evaluate performance.

machine-learning reinforcement-learning blackjack q-learning artificial-intelligence epsilon-greedy sarsa agent-based-modeling decision-making-under-uncertainty bellman-equation policy-learning reward-optimization
  • Updated Sep 4, 2024
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