Explain the concept of Q-learning.
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Answer / Akanksha
Q-learning is a reinforcement learning algorithm used for solving sequential decision-making problems. It involves an agent that learns the optimal policy (a mapping from states to actions) through trial and error, by iteratively updating its Q-value estimates based on rewards received after taking specific actions in different states.
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