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| # \delta_t = R_{t+1} + \gamma * Q(S_{t+1}, A_{t+1}) - Q(S_{t}, A_{t}) | |
| delta_t = reward + gamma* Q[next_state][next_action] - Q[state][action] | |
| # Add delta_t to the current value function | |
| # Q(S_t, A_t) += alpha * \delta_t | |
| Q[state][action] += alpha * delta_t |
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