RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

14 March 2021

Papers citing "RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems"

31 / 31 papers shown

Title
Lusifer: LLM-based User SImulated Feedback Environment for online Recommender systems Danial Ebrat Luis Rueda Luis Rueda 84 3 0 22 May 2024
Measuring Recommender System Effects with Simulated Users Sirui Yao Yoni Halpern Nithum Thain Xuezhi Wang Kang Lee Flavien Prost Ed H. Chi Jilin Chen Alex Beutel 68 49 0 12 Jan 2021
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach Martin Mladenov Elliot Creager Omer Ben-Porat Kevin Swersky R. Zemel Craig Boutilier 53 64 0 31 Jul 2020
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies Stephan Zheng Alexander R. Trott Sunil Srinivasa Nikhil Naik Melvin Gruesbeck David C. Parkes R. Socher 53 135 0 28 Apr 2020
WES: Agent-based User Interaction Simulation on Real Infrastructure John Ahlgren Maria Eugenia Berezin Kinga Bojarczuk Elena Dulskyte Inna Dvortsova ... Mark Harman Ralf Lämmel E. Meijer Silvia Sapora Justin Spahr-Summers 64 36 0 11 Apr 2020
RecSim: A Configurable Simulation Platform for Recommender Systems Eugene Ie Chih-Wei Hsu Martin Mladenov Vihan Jain Sanmit Narvekar Jing Wang Rui Wu Craig Boutilier 100 181 0 11 Sep 2019
Toward Simulating Environments in Reinforcement Learning Based Recommendations Xiangyu Zhao Long Xia Zhuoye Ding Dawei Yin Jiliang Tang 55 25 0 27 Jun 2019
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology Eugene Ie Vihan Jain Jing Wang Sanmit Narvekar Ritesh Agarwal ... Vince Gatto Paul Covington Jim McFadden Tushar Chandra Craig Boutilier OffRL 98 70 0 29 May 2019
Advantage Amplification in Slowly Evolving Latent-State Environments Martin Mladenov Ofer Meshi Jayden Ooi Dale Schuurmans Craig Boutilier OffRL 45 9 0 29 May 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 79 547 0 29 Apr 2019
Latent Variable Session-Based Recommendation D. Rohde Stephen Bonner BDL 39 3 0 24 Apr 2019
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 68 278 0 14 Dec 2018
Bayesian Layers: A Module for Neural Network Uncertainty Dustin Tran Michael W. Dusenberry Mark van der Wilk Danijar Hafner UQCV BDL 101 123 0 10 Dec 2018
Top-K Off-Policy Correction for a REINFORCE Recommender System Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H. Chi CML OffRL 114 479 0 06 Dec 2018
Simple, Distributed, and Accelerated Probabilistic Programming Like Hui Matthew Hoffman Siyuan Ma Christopher Suter Srinivas Vasudevan Alexey Radul M. Belkin Rif A. Saurous BDL 58 56 0 05 Nov 2018
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform J. Gauci Edoardo Conti Yitao Liang Kittipat Virochsiri Yuchen He Zachary Kaden Vivek Narayanan Xiaohui Ye Zhengxing Chen Scott Fujimoto 56 139 0 01 Nov 2018
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 155 1,053 0 18 Oct 2018
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising D. Rohde Stephen Bonner Travis Dunlop Flavian Vasile Alexandros Karatzoglou OffRL 57 149 0 02 Aug 2018
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning Jing-Cheng Shi Yang Yu Qing Da Shi-Yong Chen Anxiang Zeng OffRL 66 187 0 25 May 2018
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning Baolin Peng Xiujun Li Jianfeng Gao Jingjing Liu Kam-Fai Wong Shang-Yu Su OffRL 66 156 0 18 Jan 2018
Reinforcement Learning based Recommender System using Biclustering Technique Sungwoon Choi Heonseok Ha Uiwon Hwang Chanju Kim Jung-Woo Ha Sungroh Yoon OffRL 59 70 0 17 Jan 2018
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games Yuandong Tian Qucheng Gong Wenling Shang Yuxin Wu C. L. Zitnick OffRL 53 126 0 04 Jul 2017
Deep Probabilistic Programming Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 103 193 0 13 Jan 2017
Improved Recurrent Neural Networks for Session-based Recommendations Yong Kiam Tan Xinxing Xu Yong-Jin Liu 57 742 0 27 Jun 2016
Collaborative Filtering Bandits Shuai Li Alexandros Karatzoglou Claudio Gentile 74 315 0 11 Feb 2015
Online Clustering of Bandits Claudio Gentile Shuai Li Giovanni Zappella 137 264 0 31 Jan 2014
Object-Oriented Bayesian Networks D. Koller Avi Pfeffer UQCV 111 632 0 06 Feb 2013
Empirical Analysis of Predictive Algorithms for Collaborative Filtering J. Breese David Heckerman C. Kadie 516 5,911 0 30 Jan 2013
An MDP-based Recommender System Guy Shani Ronen I. Brafman David Heckerman LRM 103 973 0 12 Dec 2012
Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net U. Lerner B. Moses Maricia Scott Sheila A. McIlraith D. Koller 57 61 0 12 Dec 2012
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 114 3,006 0 19 Jul 2012