A General Offline Reinforcement Learning Framework for Interactive Recommendation

1 October 2023

Papers citing "A General Offline Reinforcement Learning Framework for Interactive Recommendation"

27 / 27 papers shown

Title
InfoPO: On Mutual Information Maximization for Large Language Model Alignment Teng Xiao Zhen Ge Sujay Sanghavi Tian Wang Julian Katz-Samuels Marc Versage Qingjun Cui Trishul Chilimbi 31 0 0 13 May 2025
Preserving Cultural Identity with Context-Aware Translation Through Multi-Agent AI Systems Mahfuz Ahmed Anik Abdur Rahman Azmine Toushik Wasi Md Manjurul Ahsan 49 0 0 05 Mar 2025
SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters Teng Xiao Yige Yuan Ziyang Chen Mingxiao Li Shangsong Liang Zhaochun Ren V. Honavar 110 6 0 21 Feb 2025
GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules Teng Xiao Chao Cui Huaisheng Zhu V. Honavar AI4CE CLIP 42 0 0 16 Nov 2024
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective Teng Xiao Mingxiao Li Yige Yuan Huaisheng Zhu Chao Cui V. Honavar ALM 36 7 0 14 Oct 2024
RePlay: a Recommendation Framework for Experimentation and Production Use Alexey Vasilev Anna Volodkevich Denis Kulandin Tatiana Bysheva Anton Klenitskiy 31 0 0 11 Sep 2024
3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs Huaisheng Zhu Teng Xiao V. Honavar DiffM 45 1 0 11 Mar 2024
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning Yixiang Shan Zhengbang Zhu Ting Long Qifan Liang Yi-Ju Chang Weinan Zhang Liang Yin OffRL 51 1 0 05 Feb 2024
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback Teng Xiao Suhang Wang OffRL 41 8 0 17 Jan 2024
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 26 0 0 30 Oct 2023
A General Neural Causal Model for Interactive Recommendation Jialin Liu Xinyan Su Peng Zhou Xiangyu Zhao Jun Li CML 20 0 0 30 Oct 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations Teng Xiao Huaisheng Zhu Zhengyu Chen Suhang Wang 35 31 0 29 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 34 76 0 01 Oct 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 34 2 0 25 Aug 2023
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems Xiaocong Chen Siyu Wang Julian McAuley Dietmar Jannach Lina Yao OffRL 32 5 0 22 Aug 2023
Towards Fair Graph Neural Networks via Graph Counterfactual Zhimeng Guo Jialiang Li Teng Xiao Yao Ma Suhang Wang 53 21 0 10 Jul 2023
Elastic Decision Transformer Yueh-hua Wu Xiaolong Wang Masashi Hamaya OffRL 34 39 0 05 Jul 2023
Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems Pan Li Yuyan Wang Ed H. Chi Minmin Chen 21 2 0 02 Jun 2023
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 46 2 0 11 Oct 2022
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning Haoyi Niu Shubham Sharma Yiwen Qiu Ming Li Guyue Zhou Jianming Hu Xianyuan Zhan OffRL OnRL 40 48 0 27 Jun 2022
Decoupled Self-supervised Learning for Non-Homophilous Graphs Teng Xiao Zhengyu Chen Zhimeng Guo Zeyang Zhuang Suhang Wang BDL SSL 36 18 0 07 Jun 2022
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders Teng Xiao Zhengyu Chen Suhang Wang OOD CML OffRL 32 0 0 07 Jun 2022
DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games Hojoon Lee Dongyoon Hwang Hyunseung Kim ByungKun Lee Jaegul Choo 14 11 0 27 Apr 2022
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation Haruka Kiyohara K. Kawakami Yuta Saito OffRL 32 12 0 17 Sep 2021
Recommendation Fairness: From Static to Dynamic De-Fu Zhang Jun Wang OffRL 24 15 0 05 Sep 2021
Personalization for Web-based Services using Offline Reinforcement Learning P. Apostolopoulos Zehui Wang Hanson Wang Chad Zhou Kittipat Virochsiri Norm Zhou Igor L. Markov OffRL OnRL 27 7 0 10 Feb 2021
Soft Actor-Critic for Discrete Action Settings Petros Christodoulou OffRL 104 292 0 16 Oct 2019