Cover Image

Enhancing Prediction Models with Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Radziszewski, Karol, Ociepka, Piotr
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Solving cold start in news recommendations: a RippleNet-based system for large scale media outlet
by: Radziszewski, Karol, et al.
Published: (2025)

EnhancedRL: An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Recommender Systems
by: Liu, Peng, et al.
Published: (2024)

Mutual Learning for Finetuning Click-Through Rate Prediction Models
by: Yilmaz, Ibrahim Can, et al.
Published: (2024)

Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning
by: Sharma, Amit, et al.
Published: (2024)

Research on Short-Video Platform User Decision-Making via Multimodal Temporal Modeling and Reinforcement Learning
by: Wang, Jinmeiyang, et al.
Published: (2025)

Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning
by: Petrov, Aleksandr, et al.
Published: (2024)

Tree-based Focused Web Crawling with Reinforcement Learning
by: Kontogiannis, Andreas, et al.
Published: (2021)

Optimizing Conversational Product Recommendation via Reinforcement Learning
by: Liu, Kang
Published: (2025)

MLPlatt: Simple Calibration Framework for Ranking Models
by: Bajger, Piotr, et al.
Published: (2026)

RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems
by: Su, Shuo, et al.
Published: (2024)

Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning
by: Liu, Yuhan, et al.
Published: (2025)

Cache-Aware Reinforcement Learning in Large-Scale Recommender Systems
by: Chen, Xiaoshuang, et al.
Published: (2024)

An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation
by: Wang, Jun, et al.
Published: (2024)

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
by: Xue, Zhenghai, et al.
Published: (2023)

Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
by: Liu, Langming, et al.
Published: (2025)

Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation
by: Wang, Siyu, et al.
Published: (2025)

Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems
by: Wang, Siyu, et al.
Published: (2024)

Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty
by: Sun, Peijie, et al.
Published: (2024)

Enhanced Traffic Flow Prediction with Multi-Segment Fusion Tensor Graph Convolutional Networks
by: Zhang, Wei, et al.
Published: (2024)

CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship
by: Lee, Yeon-Chang, et al.
Published: (2024)

Feature Staleness Aware Incremental Learning for CTR Prediction
by: Wang, Zhikai, et al.
Published: (2025)

EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems
by: Yu, Yuanqing, et al.
Published: (2024)

SRAS: A Lightweight Reinforcement Learning-based Document Selector for Edge-Native RAG Pipelines
by: Muttur, Rajiv Chaitanya
Published: (2026)

OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
by: Weng, Yunpeng, et al.
Published: (2024)

Graph Topology Information Enhanced Heterogeneous Graph Representation Learning
by: Zhao, He, et al.
Published: (2026)

IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning
by: Oh, Sejoon, et al.
Published: (2024)

SPGL: Enhancing Session-based Recommendation with Single Positive Graph Learning
by: Liang, Tiantian, et al.
Published: (2024)

UnifiedRL: A Reinforcement Learning Algorithm Tailored for Multi-Task Fusion in Large-Scale Recommender Systems
by: Liu, Peng, et al.
Published: (2024)

MODRL-TA:A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search
by: Cheng, Peng, et al.
Published: (2024)

Enhancing Recommendation Diversity by Re-ranking with Large Language Models
by: Carraro, Diego, et al.
Published: (2024)

An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records
by: Azzalini, Fabio, et al.
Published: (2023)

Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation
by: Long, Junfeng, et al.
Published: (2024)

SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity Learning
by: Wang, Wenjun, et al.
Published: (2024)

Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization
by: Zhu, Zirui, et al.
Published: (2024)

Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction
by: Fischer, Elisabeth, et al.
Published: (2024)

Enhancing Online Support Group Formation Using Topic Modeling Techniques
by: Barman, Pronob Kumar, et al.
Published: (2026)

A Hybrid Machine Learning Approach for Graduate Admission Prediction and Combined University-Program Recommendation
by: Far, Melina Heidari, et al.
Published: (2026)

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
by: Xu, Xiaoxiao, et al.
Published: (2025)

Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising
by: Zhou, Chang, et al.
Published: (2024)

Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction
by: Nguyen, Ha-Anh Hoang, et al.
Published: (2026)