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• Policy-based Methods: Policy-based methods are a class of reinforcement learning algorithms that directly learn a policy, which is a mapping from states to actions, without computing a value function. These methods optimize the policy by iteratively updating the ... Read More >>
• Locks: In Data Science, locks refer to a synchronization mechanism used to control access to shared resources in a multi-threaded or distributed environment. Locks are used to prevent multiple threads or processes from accessing the same resource ... Read More >>
• Knowledge Management: Knowledge Management is the process of identifying, capturing, storing, retrieving, and sharing knowledge within an organization. It involves creating a knowledge base that can be used to improve decision-making, problem-solving, and innova ... Read More >>