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| scores = [] | |
| for i in range(700): | |
| current_state = np.random.randint(0, int(Q.shape[0])) | |
| available_act = available_actions(current_state) | |
| action = sample_next_action(available_act) | |
| score = update(current_state,action,gamma) | |
| scores.append(score) |
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