Reading, much like music listening, is an immersive experience that transports readers while taking them on an emotional journey. Listening to complementary music has the potential to amplify the reading experience, especially when the music is stylistically cohesive and emotionally relevant. In this paper, we propose the first fully automatic method to build a dense soundtrack for books, which can play high-quality instrumental music for the entirety of the reading duration. Our work employs a unique text processing and music weaving pipeline that determines the context and emotional composition of scenes in a chapter. This allows our method to identify and play relevant excerpts from the soundtrack of the book's movie adaptation. By relying on the movie composer's craftsmanship, our book soundtracks include expert-made motifs and other scene-specific musical characteristics. We validate the design decisions of our approach through a perceptual study. Our readers note that the book soundtrack greatly enhanced their reading experience, due to high immersiveness granted via uninterrupted and style-consistent music, and a heightened emotional state attained via high precision emotion and scene context recognition.

实验进展使高分辨率外部控制产生新的机会，可以生产具有异国情调的材料。在这项工作中，我们调查多智能体强化学习方法如何用于为自组装设计外部控制协议。我们发现一个完全分散的方法即使具有“粗糙”的外部控制级别，也会表现出色。更重要的是，我们看到，我们包括关于当地环境的信息的部分分散方法使我们能够更好地控制我们的系统朝向某些目标分布。通过分析我们作为部分观察到的马尔可夫决策过程的方法来解释这一点。通过部分分散的方法，通过防止形成不希望的结构并且与完全分散的方法相比，通过防止形成不希望的结构并且通过更好地稳定靶结构，能够更加稳定的方法。