Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG

Martin Mladenov,Chih-wei Hsu,Vihan Jain,Eugene Ie,Christopher Colby,Nicolas Mayoraz,Hubert Pham,Dustin Tran,Ivan Vendrov,Craig Boutilier

RECSYS（2020）

引用 11|浏览431

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摘要

ABSTRACT We develop RecSim NG, a probabilistic platform that supports natural, concise specification and learning of models for multi-agent recommender systems simulation. RecSim NG is a scalable, modular, differentiable simulator implemented in Edward2 and TensorFlow.

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关键词

Probabilistic Programming, Latent Variable Models, Reinforcement Learning

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