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quantity, num_iterations, learning_rate, discount_factor, exploration_prob): num_actions = 3 num_features = 5 q_trader = QLearningTrader(num_actions, num_features, learning_rate, discount_factor, exploration_prob) for i in range(num_iterations): q_trader.observe_real_time_data(identifier) action =