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Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation

10 November 2019

Papers citing "Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation"

33 / 33 papers shown

Title
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing Lingyue Fu Ting Long Jianghao Lin Wei Xia Xinyi Dai Ruiming Tang Yun Wang Weinan Zhang Yong Yu OffRL 69 0 0 07 Apr 2025
Federated Control in Markov Decision Processes Hao Jin Yang Peng Liangyu Zhang Zhihua Zhang FedML 67 0 0 07 May 2024
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems Siyu Wang Xiaocong Chen Lina Yao OffRL 86 2 0 26 Mar 2024
Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning Aleksandr V. Petrov Craig MacDonald 39 2 0 07 Mar 2024
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning Xiangyu Yin Sihao Wu Jiaxu Liu Meng Fang Xingyu Zhao Xiaowei Huang Wenjie Ruan AAML 79 5 0 12 Dec 2023
Adversarial Batch Inverse Reinforcement Learning: Learn to Reward from Imperfect Demonstration for Interactive Recommendation Jialin Liu Xinyan Su Zeyu He Xiangyu Zhao Jun Li OffRL 51 0 0 30 Oct 2023
A General Neural Causal Model for Interactive Recommendation Jialin Liu Xinyan Su Peng Zhou Xiangyu Zhao Jun Li CML 46 0 0 30 Oct 2023
Reward Dropout Improves Control: Bi-objective Perspective on Reinforced LM Changhun Lee Chiehyeon Lim 68 0 0 06 Oct 2023
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems Zhenghai Xue Qingpeng Cai Tianyou Zuo Bin Yang Lantao Hu Peng Jiang Kun Gai 53 1 0 06 Oct 2023
A General Offline Reinforcement Learning Framework for Interactive Recommendation Teng Xiao Donglin Wang OffRL 106 74 0 01 Oct 2023
Model-based Offline Policy Optimization with Adversarial Network Junming Yang Xingguo Chen Shengyuan Wang Bolei Zhang OffRL 60 2 0 05 Sep 2023
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems Tianchi Cai Shenliao Bao Jiyan Jiang Shiji Zhou Wenpeng Zhang Lihong Gu Jinjie Gu Guannan Zhang OffRL 63 2 0 25 Aug 2023
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions Tongxin Li Yiheng Lin Shaolei Ren Adam Wierman AAML OffRL 93 8 0 20 Jul 2023
Robust Reinforcement Learning Objectives for Sequential Recommender Systems Melissa Mozifian Tristan Sylvain David Evans Li Meng OffRL 51 0 0 30 May 2023
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning Siyu Wang Xiaocong Chen Dietmar Jannach Lina Yao CML OffRL 114 28 0 17 Apr 2023
Effective Dimension in Bandit Problems under Censorship G. Guinet Saurabh Amin Patrick Jaillet 44 1 0 14 Feb 2023
Multi-Task Recommendations with Reinforcement Learning Ziru Liu Jiejie Tian Qingpeng Cai Xiangyu Zhao Jingtong Gao ... Da Chen Tonghao He Dong Zheng Peng Jiang Kun Gai 114 44 0 07 Feb 2023
Optimizing DDPM Sampling with Shortcut Fine-Tuning Ying Fan Kangwook Lee 111 60 0 31 Jan 2023
Generative Slate Recommendation with Reinforcement Learning Romain Deffayet Thibaut Thonet Jean-Michel Render Maarten de Rijke 88 24 0 20 Jan 2023
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
A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction Krzysztof Koras Marcin Mo.zejko Paula Szymczak E. Staub Ewa Szczurek 51 0 0 07 Jun 2022
Estimating and Penalizing Induced Preference Shifts in Recommender Systems Micah Carroll Anca Dragan Stuart J. Russell Dylan Hadfield-Menell OffRL 125 44 0 25 Apr 2022
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
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL Benjamin Eysenbach Alexander Khazatsky Sergey Levine Ruslan Salakhutdinov OffRL 257 46 0 06 Oct 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
Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation Luo Ji Qin Qi Bingqing Han Hongxia Yang OffRL 55 28 0 20 Aug 2021
Conditional Sequential Slate Optimization Yipeng Zhang Mingjian Lu Saratchandra Indrakanti M. Kannadasan A. Bagherjeiran 113 0 0 12 Aug 2021
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference Xiaocong Chen Lina Yao Xianzhi Wang Aixin Sun Wenjie Zhang Quan Z. Sheng 48 8 0 03 May 2021
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 253 283 0 23 Jan 2021
Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation Diksha Garg Priyanka Gupta Pankaj Malhotra Lovekesh Vig Gautam M. Shroff OffRL 37 8 0 16 Dec 2020
Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation Yanan Wang Yong Ge Li Li Rui Chen Tong Xu OffRL 61 7 0 04 Dec 2020
Learning from eXtreme Bandit Feedback Romain Lopez Inderjit S. Dhillon Michael I. Jordan OffRL 91 25 0 27 Sep 2020
Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce Jianxiong Wei Anxiang Zeng Yueqiu Wu P. Guo Q. Hua Qingpeng Cai OffRL 69 9 0 25 May 2020