Reinforcement Learning

STANDARD DEFINITION · CACHED

is a subfield of where an learns to make sequences of decisions by interacting with an to maximize a cumulative . Based on the framework, the process involves the agent observing the current , selecting an according to a , and receiving feedback in the form of rewards or penalties. Key challenges in this paradigm include the and the . Modern advancements, often referred to as , utilize architectures like or to approximate value functions, leading to breakthroughs such as by and the development of used by and to align .

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Reinforcement Learning

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