Agent4Rec is an open-source project that offers a platform for developing interactive recommender systems using reinforcement learning techniques. It enables researchers and developers to build and test recommendation algorithms that adapt and learn from user interactions in real-time. By integrating reinforcement learning, Agent4Rec seeks to improve personalization and effectiveness in recommendation systems. The platform serves as a valuable resource for advancing research in interactive AI and recommendation technologies.Visit Website
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