EPM-RL: Reinforcement Learning for On-Premise Product Mapping in E-Commerce
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Minhyeong, Seo, Wonduk |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MARIC: Multi-Agent Reasoning for Image Classification
by: Seo, Wonduk, et al.
Published: (2025)
by: Seo, Wonduk, et al.
Published: (2025)
SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science
by: Seo, Wonduk, et al.
Published: (2025)
by: Seo, Wonduk, et al.
Published: (2025)
GenDB: The Next Generation of Query Processing -- Synthesized, Not Engineered
by: Lao, Jiale, et al.
Published: (2026)
by: Lao, Jiale, et al.
Published: (2026)
A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry
by: Seo, Wonduk, et al.
Published: (2025)
by: Seo, Wonduk, et al.
Published: (2025)
Question-to-Knowledge (Q2K): Multi-Agent Generation of Inspectable Facts for Product Mapping
by: Seo, Wonduk, et al.
Published: (2025)
by: Seo, Wonduk, et al.
Published: (2025)
KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality
by: Ren, Baochang, et al.
Published: (2025)
by: Ren, Baochang, et al.
Published: (2025)
ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning
by: Wan, Ziyu, et al.
Published: (2025)
by: Wan, Ziyu, et al.
Published: (2025)
Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement Learning
by: Mittra, Tirthankar
Published: (2024)
by: Mittra, Tirthankar
Published: (2024)
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
by: Sarkar, Bidipta, et al.
Published: (2025)
by: Sarkar, Bidipta, et al.
Published: (2025)
Multi-Objective Reinforcement Learning for Large Language Model Optimization: Visionary Perspective
by: Kong, Lingxiao, et al.
Published: (2025)
by: Kong, Lingxiao, et al.
Published: (2025)
BAPPA: Benchmarking Agents, Plans, and Pipelines for Automated Text-to-SQL Generation
by: Ahmed, Fahim, et al.
Published: (2025)
by: Ahmed, Fahim, et al.
Published: (2025)
Toward Culturally Aligned LLMs through Ontology-Guided Multi-Agent Reasoning
by: Seo, Wonduk, et al.
Published: (2026)
by: Seo, Wonduk, et al.
Published: (2026)
Chain of Uncertain Rewards with Large Language Models for Reinforcement Learning
by: Mo, Shentong
Published: (2026)
by: Mo, Shentong
Published: (2026)
LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions
by: Sun, Chuanneng, et al.
Published: (2024)
by: Sun, Chuanneng, et al.
Published: (2024)
Scalable High-Recall Constraint-Satisfaction-Based Information Retrieval for Clinical Trials Matching
by: Zhou, Cyrus, et al.
Published: (2026)
by: Zhou, Cyrus, et al.
Published: (2026)
Speculative Ad-hoc Querying
by: Li, Haoyu, et al.
Published: (2025)
by: Li, Haoyu, et al.
Published: (2025)
Composite Learning Units: Generalized Learning Beyond Parameter Updates to Transform LLMs into Adaptive Reasoners
by: Radha, Santosh Kumar, et al.
Published: (2024)
by: Radha, Santosh Kumar, et al.
Published: (2024)
MAC: Multi-Agent Constitution Learning
by: Thareja, Rushil, et al.
Published: (2026)
by: Thareja, Rushil, et al.
Published: (2026)
Can We Predict Before Executing Machine Learning Agents?
by: Zheng, Jingsheng, et al.
Published: (2026)
by: Zheng, Jingsheng, et al.
Published: (2026)
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
by: Fang, Haoyang, et al.
Published: (2025)
by: Fang, Haoyang, et al.
Published: (2025)
Iterative Graph Alignment
by: Yu, Fangyuan, et al.
Published: (2024)
by: Yu, Fangyuan, et al.
Published: (2024)
LENS: Learning Ensemble Confidence from Neural States for Multi-LLM Answer Integration
by: Guo, Jizhou
Published: (2025)
by: Guo, Jizhou
Published: (2025)
Pun Intended: Multi-Agent Translation of Wordplay with Contrastive Learning and Phonetic-Semantic Embeddings
by: Taylor, Russell, et al.
Published: (2025)
by: Taylor, Russell, et al.
Published: (2025)
Towards Emotionally Intelligent and Responsible Reinforcement Learning
by: Keerthana, Garapati, et al.
Published: (2025)
by: Keerthana, Garapati, et al.
Published: (2025)
Dive into the Agent Matrix: A Realistic Evaluation of Self-Replication Risk in LLM Agents
by: Zhang, Boxuan, et al.
Published: (2025)
by: Zhang, Boxuan, et al.
Published: (2025)
DR. WELL: Dynamic Reasoning and Learning with Symbolic World Model for Embodied LLM-Based Multi-Agent Collaboration
by: Nourzad, Narjes, et al.
Published: (2025)
by: Nourzad, Narjes, et al.
Published: (2025)
TextArena
by: Guertler, Leon, et al.
Published: (2025)
by: Guertler, Leon, et al.
Published: (2025)
SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories
by: Yu, Zhuoyun, et al.
Published: (2026)
by: Yu, Zhuoyun, et al.
Published: (2026)
MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks
by: Zhu, Yinghao, et al.
Published: (2025)
by: Zhu, Yinghao, et al.
Published: (2025)
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
by: Li, Zhuofeng, et al.
Published: (2025)
by: Li, Zhuofeng, et al.
Published: (2025)
HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research
by: Zhu, Yinghao, et al.
Published: (2025)
by: Zhu, Yinghao, et al.
Published: (2025)
Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning
by: Yalcinkaya, Beyazit, et al.
Published: (2025)
by: Yalcinkaya, Beyazit, et al.
Published: (2025)
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
by: Su, Hongjin, et al.
Published: (2025)
by: Su, Hongjin, et al.
Published: (2025)
In-Context Environments Induce Evaluation-Awareness in Language Models
by: Chaudhary, Maheep
Published: (2026)
by: Chaudhary, Maheep
Published: (2026)
MAGIC: A Co-Evolving Attacker-Defender Adversarial Game for Robust LLM Safety
by: Wen, Xiaoyu, et al.
Published: (2026)
by: Wen, Xiaoyu, et al.
Published: (2026)
Multi-Agent Constraint Factorization Reveals Latent Invariant Solution Structure
by: Scofield, Christopher
Published: (2026)
by: Scofield, Christopher
Published: (2026)
Recursive Agent Optimization
by: Gandhi, Apurva, et al.
Published: (2026)
by: Gandhi, Apurva, et al.
Published: (2026)
MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems
by: Wang, Zhexuan, et al.
Published: (2026)
by: Wang, Zhexuan, et al.
Published: (2026)
MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation
by: Lin, Huawei, et al.
Published: (2026)
by: Lin, Huawei, et al.
Published: (2026)
RealICU: Do LLM Agents Understand Long-Context ICU Data? A Benchmark Beyond Behavior Imitation
by: Shen, Chengzhi, et al.
Published: (2026)
by: Shen, Chengzhi, et al.
Published: (2026)
Similar Items
-
MARIC: Multi-Agent Reasoning for Image Classification
by: Seo, Wonduk, et al.
Published: (2025) -
SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science
by: Seo, Wonduk, et al.
Published: (2025) -
GenDB: The Next Generation of Query Processing -- Synthesized, Not Engineered
by: Lao, Jiale, et al.
Published: (2026) -
A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry
by: Seo, Wonduk, et al.
Published: (2025) -
Question-to-Knowledge (Q2K): Multi-Agent Generation of Inspectable Facts for Product Mapping
by: Seo, Wonduk, et al.
Published: (2025)