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Custom-BlackJack-Environment-ReinforcementLearning

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This project involves creating a custom Blackjack environment and training an AI using reinforcement learning techniques, specifically Proximal Policy Optimization (PPO) and Deep Q-Network (DQN). The goal is to teach the AI to play Blackjack and achieve the best possible win rate.

Hora de creación2024-03-30T19:05:52
Hora de actualización2025-03-22T00:12:03
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