Artificial Intelligence, Finance, Reinforcement Learning, Data Science, Innovation.
“epsilon-greedy” when choosing actions. Sometimes, it picks a random action to explore new paths, and other times it uses past experience to choose the best-known action. It updates its Q-table after every move, refining its understanding of which actions lead to better rewards. Over time, the