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Andrew-Pynch/q_update.py

Created March 22, 2020 02:05
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q_update.py
new_q = (1 - LEARNING_RATE) * current_q + LEARNING_RATE * (reward + DISCOUNT * max_future_q)
q_table[observation][action] = reward
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