- Martin Mladenov
- Chih-wei Hsu
- Vihan Jain
- Eugene Ie
- Christopher Colby
- Nicolas Mayoraz
- Hubert Pham
- Dustin Tran
- Ivan Vendrov
- Craig Boutilier
RecSys '20: Fourteenth ACM Conference on Recommender Systems (2020), pp. 591-593
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.
An extended version of this paper is available as arXiv:2103.08057.
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