# config.py

# --- Training Hyperparameters ---
LEARNING_RATE = 0.1
GAMMA = 0.99
TOTAL_EPISODES = 10000

# --- Epsilon Parameters ---
EPSILON_START = 1.0
EPSILON_END = 0.01
EPSILON_DECAY_RATE = 0.0005

# --- Environment Parameters ---
SCENARIO = 0  # 0: A, 1: B, 2: C, 3: D
TARGET_PRICE = 100
THRESHOLD_PRICE = 120

# --- File Paths ---
Q_TABLE_SAVE_PATH = "saved_models/q_table.npy"