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RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

2 August 2018

Alexandros Karatzoglou

OffRL

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Papers citing "RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising"

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Title
Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action Tongyoung Kim Jeongeun Lee Soojin Yoon Seon Gyeom Kim Dongha Lee 89 1 0 28 Mar 2025
Contrastive Representation for Interactive Recommendation Jingyu Li Zhiyong Feng Dongxiao He Hongqi Chen Qinghang Gao Guoli Wu 71 0 0 24 Dec 2024
Neural Click Models for Recommender Systems Mikhail Shirokikh Ilya Shenbin Anton M. Alekseev Anna Volodkevich Alexey Vasilev Andrey Savchenko Sergey I. Nikolenko LRM 3DV 59 2 0 30 Sep 2024
Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies Chih-Wei Hsu Martin Mladenov Ofer Meshi James Pine Hubert Pham ... Xujian Liang Anton Polishko Li Yang Ben Scheetz Craig Boutilier OffRL 37 3 0 26 Sep 2024
An Extremely Data-efficient and Generative LLM-based Reinforcement Learning Agent for Recommenders Shuang Feng Grace Feng OffRL 61 2 0 28 Aug 2024
AExGym: Benchmarks and Environments for Adaptive Experimentation Jimmy Wang Ethan Che Daniel R. Jiang Hongseok Namkoong 77 0 0 08 Aug 2024
MODRL-TA:A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search Peng Cheng Huimu Wang Jinyuan Zhao Yihao Wang Enqiang Xu ... Zhuojian Xiao Songlin Wang Guoyu Tang Lin Liu Sulong Xu 62 0 0 22 Jul 2024
SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems Nathan Corecco Giorgio Piatti Luca A. Lanzendörfer Flint Xiaofeng Fan Roger Wattenhofer OffRL 63 3 0 01 Jun 2024
Lusifer: LLM-based User SImulated Feedback Environment for online Recommender systems Danial Ebrat Luis Rueda Luis Rueda 107 3 0 22 May 2024
A Design Trajectory Map of Human-AI Collaborative Reinforcement Learning Systems: Survey and Taxonomy Zhaoxing Li 52 2 0 16 May 2024
Optimal Baseline Corrections for Off-Policy Contextual Bandits Shashank Gupta Olivier Jeunen Harrie Oosterhuis Maarten de Rijke 85 7 0 09 May 2024
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models Sarah Dean Evan Dong Meena Jagadeesan Liu Leqi 82 8 0 18 Apr 2024
BVR Gym: A Reinforcement Learning Environment for Beyond-Visual-Range Air Combat Edvards Scukins Markus Klein Lars Kroon Petter Ögren OffRL 46 4 0 26 Mar 2024
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems Yuanqing Yu Chongming Gao Jiawei Chen Heng Tang Yuefeng Sun Qian Chen Weizhi Ma Min Zhang OffRL 83 3 0 23 Feb 2024
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation Haruka Kiyohara Ren Kishimoto K. Kawakami Ken Kobayashi Kazuhide Nakata Yuta Saito OffRL ELM 102 4 0 30 Nov 2023
On Generative Agents in Recommendation An Zhang Yuxin Chen Leheng Sheng Xiang Wang Tat-Seng Chua 119 59 0 16 Oct 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey Gregory Palmer Chris Parry Daniel J.B. Harrold Chris Willis AI4CE 84 2 0 11 Oct 2023
Distributionally-Informed Recommender System Evaluation Michael D. Ekstrand Ben Carterette Fernando Diaz OffRL 56 11 0 12 Sep 2023
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging Rachel M. Harrison Anton Dereventsov A. Bibin 69 9 0 02 Sep 2023
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top- $n$ Recommendation Olivier Jeunen Ivan Potapov Aleksei Ustimenko ELM OffRL 132 12 0 27 Jul 2023
A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management Xianliang Yang Zhihao Liu Wei Jiang Wei Shen Li Zhao Lei Song Jiang Bian 62 13 0 13 Jun 2023
User Behavior Simulation with Large Language Model based Agents Lei Wang Jingsen Zhang Hao-ran Yang Zhiyuan Chen Jiakai Tang ... Wayne Xin Zhao Jun Xu Zhicheng Dou Jun Wang Ji-Rong Wen LM&Ro LLMAG 121 51 0 05 Jun 2023
Simulating News Recommendation Ecosystem for Fun and Profit Guangping Zhang Dongsheng Li Hansu Gu Tun Lu Li Shang Ning Gu 37 0 0 23 May 2023
Leveraging Large Language Models in Conversational Recommender Systems Luke Friedman Sameer Ahuja David Allen Zhenning Tan Hakim Sidahmed ... Ajay Patel Harsh Lara Brian Chu Zexiang Chen Manoj Kumar Tiwari 118 110 0 13 May 2023
Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning Bhargav Ganguly Yulian Wu Di Wang Vaneet Aggarwal 60 9 0 16 Feb 2023
Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks Anton Dereventsov Andrew Starnes Clayton Webster 62 4 0 21 Nov 2022
Multi-Objective Recommender Systems: Survey and Challenges Dietmar Jannach 123 13 0 19 Oct 2022
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets Anton Dereventsov A. Bibin 57 1 0 12 Oct 2022
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems Zhengbang Zhu Rongjun Qin Junjie Huang Xinyi Dai Yang Yu Yong Yu Weinan Zhang 63 2 0 11 Oct 2022
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation Imad Aouali Amine Benhalloum Martin Bompaire Benjamin Heymann Olivier Jeunen D. Rohde Otmane Sakhi Flavian Vasile OffRL 52 2 0 18 Sep 2022
Extending Open Bandit Pipeline to Simulate Industry Challenges Bram van den Akker N. Weber Felipe Moraes Dmitri Goldenberg OffRL 46 1 0 09 Sep 2022
SlateFree: a Model-Free Decomposition for Reinforcement Learning with Slate Actions A. Giovanidis 32 0 0 05 Sep 2022
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms Javier Mancilla Christophe Pere VLM 56 17 0 28 Aug 2022
Synthetic Data-Based Simulators for Recommender Systems: A Survey Elizaveta Stavinova A. Grigorievskiy A. Volodkevich P. Chunaev Klavdiya Olegovna Bochenina D. Bugaychenko SyDa 69 8 0 22 Jun 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments Mohan Zhang Xiaozhou Wang Benjamin Decardi-Nelson Bo Song A. Zhang ... Jiayi Cheng Xiaohong Liu DengDeng Yu Matthew Poon Animesh Garg 69 4 0 17 Jun 2022
Truly Deterministic Policy Optimization Ehsan Saleh Saba Ghaffari Timothy Bretl Matthew West OffRL 57 3 0 30 May 2022
Fairness in Recommender Systems: Research Landscape and Future Directions Yashar Deldjoo Dietmar Jannach Alejandro Bellogín Alessandro Difonzo Dario Zanzonelli OffRL FaML 123 94 0 23 May 2022
Explicit User Manipulation in Reinforcement Learning Based Recommender Systems Matthew Sparr OffRL 75 0 0 20 Mar 2022
Balancing Consumer and Business Value of Recommender Systems: A Simulation-based Analysis Nada Ghanem Stephan Leitner Dietmar Jannach 53 31 0 10 Mar 2022
Should I send this notification? Optimizing push notifications decision making by modeling the future Conor O'Brien Huasen Wu Shaodan Zhai Dalin Guo Wenzhe Shi Jonathan J. Hunt 44 5 0 17 Feb 2022
Fair ranking: a critical review, challenges, and future directions Gourab K. Patro Lorenzo Porcaro Laura Mitchell Qiuyue Zhang Meike Zehlike Nikhil Garg 76 56 0 29 Jan 2022
Learning to Rank For Push Notifications Using Pairwise Expected Regret Yuguang Yue Yuanpu Xie Huasen Wu Haofeng Jia Shaodan Zhai Wenzhe Shi Jonathan J. Hunt 40 5 0 19 Jan 2022
Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions Adam Lesnikowski Gabriel de Souza P. Moreira Sara Rabhi K. Byleen-Higley ELM 62 2 0 21 Dec 2021
Supervised Advantage Actor-Critic for Recommender Systems Xin Xin Alexandros Karatzoglou Ioannis Arapakis J. Jose OffRL 66 30 0 05 Nov 2021
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System Kai Wang Zhene Zou Minghao Zhao Qilin Deng Yue Shang Yile Liang Runze Wu Xudong Shen Tangjie Lyu Changjie Fan OffRL 43 9 0 18 Oct 2021
Multiversal Simulacra: Understanding Hypotheticals and Possible Worlds Through Simulation Michael D. Ekstrand 48 2 0 02 Oct 2021
Deep Exploration for Recommendation Systems Zheqing Zhu Benjamin Van Roy 108 11 0 26 Sep 2021
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation Haruka Kiyohara K. Kawakami Yuta Saito OffRL 74 13 0 17 Sep 2021
Simulations in Recommender Systems: An industry perspective Lucas Bernardi S. Batra C. Bruscantini 42 8 0 14 Sep 2021
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions Xiaocong Chen L. Yao Julian McAuley Guanglin Zhou Xianzhi Wang AI4TS 79 62 0 08 Sep 2021