Reinforcement Learning from Human Feedback RLHF

The linked article on LeewayHertz's website explores reinforcement learning from human feedback. It delves into the concept of using human feedback to train reinforcement learning models, highlighting the benefits and challenges associated with this approach. The article discusses techniques such as reward modeling and inverse reinforcement learning, providing insights on how to leverage human knowledge to improve the performance of reinforcement learning algorithms.

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