Cover Image

RAD: Retrieval High-quality Demonstrations to Enhance Decision-making

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Lu, Shan, Yixiang, Zhu, Zhengbang, Liang, Qifan, Song, Lichang, Long, Ting, Zhang, Weinan, Chang, Yi
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem
by: Song, Lichang, et al.
Published: (2026)

DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
by: Li, Guanghe, et al.
Published: (2024)

Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning
by: Shan, Yixiang, et al.
Published: (2024)

DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models
by: Zhang, Shenyu, et al.
Published: (2025)

A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making
by: Wu, Xiao, et al.
Published: (2025)

MonoScale: Scaling Multi-Agent System with Monotonic Improvement
by: Shao, Shuai, et al.
Published: (2026)

RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving
by: Wang, Yujin, et al.
Published: (2025)

TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making
by: Jiao, Kechen, et al.
Published: (2025)

Diffusion Models for Reinforcement Learning: A Survey
by: Zhu, Zhengbang, et al.
Published: (2023)

DUET: Distilled LLM Unlearning from an Efficiently Contextualized Teacher
by: Zhong, Yisheng, et al.
Published: (2026)

TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision
by: Zhou, Ruiwen, et al.
Published: (2024)

MADiff: Offline Multi-agent Learning with Diffusion Models
by: Zhu, Zhengbang, et al.
Published: (2023)

Hierarchical Federated Unlearning for Large Language Models
by: Zhong, Yisheng, et al.
Published: (2025)

Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory
by: Zou, Mingxi, et al.
Published: (2026)

ChatWise: A Strategy-Guided Chatbot for Enhancing Cognitive Support in Older Adults
by: Yang, Zhengbang, et al.
Published: (2025)

SkillPager: Query-Adaptive Intra-Skill Navigation via Semantic Node Retrieval
by: Cui, Zicai, et al.
Published: (2026)

CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control
by: Ruan, Jingqing, et al.
Published: (2024)

Explaining and Improving Information Complementarities in Multi-Agent Decision-making
by: Guo, Ziyang, et al.
Published: (2025)

GameVLM: A Decision-making Framework for Robotic Task Planning Based on Visual Language Models and Zero-sum Games
by: Mei, Aoran, et al.
Published: (2024)

R-Capsule: Compressing High-Level Plans for Efficient Large Language Model Reasoning
by: Shan, Hongyu, et al.
Published: (2025)

EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making
by: Cheng, Yang, et al.
Published: (2025)

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
by: Peng, Zhiyuan, et al.
Published: (2023)

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
by: Lin, Jianghao, et al.
Published: (2023)

BookRAG: A Hierarchical Structure-aware Index-based Approach for Retrieval-Augmented Generation on Complex Documents
by: Wang, Shu, et al.
Published: (2025)

Guideline Forest: Retrieval-Augmented Reasoning with Branching Experience-Induced Guidelines
by: Chen, Jiaxiang, et al.
Published: (2025)

AI-assisted Knowledge Discovery in Biomedical Literature to Support Decision-making in Precision Oncology
by: He, Ting, et al.
Published: (2024)

Skill-Enhanced Reinforcement Learning Acceleration from Heterogeneous Demonstrations
by: Zhang, Hanping, et al.
Published: (2024)

DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy
by: Xu, Kaixuan, et al.
Published: (2025)

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
by: Li, Mingda, et al.
Published: (2024)

DynaTree: Dynamic Agentic Retrieval Tree for Time-Sensitive News Retrieval
by: Qi, Siyuan, et al.
Published: (2026)

Verifying Memoryless Sequential Decision-making of Large Language Models
by: Gross, Dennis, et al.
Published: (2025)

Unified Bayesian Frameworks for Multi-criteria Decision-making Problems
by: Mohammadi, Majid
Published: (2022)

Agentic Information Retrieval
by: Zhang, Weinan, et al.
Published: (2024)

W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering
by: Nian, Jinming, et al.
Published: (2024)

Type-based Neural Link Prediction Adapter for Complex Query Answering
by: Song, Lingning, et al.
Published: (2024)

Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
by: Liu, Zeyang, et al.
Published: (2024)

Assistive AI for Augmenting Human Decision-making
by: Gyöngyössy, Natabara Máté, et al.
Published: (2024)

OSCAR: Optimization-Steered Agentic Planning for Composed Image Retrieval
by: Wang, Teng, et al.
Published: (2026)

Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making
by: Guo, Jian, et al.
Published: (2024)

ComplLLM: Fine-tuning LLMs to Discover Complementary Signals for Decision-making
by: Guo, Ziyang, et al.
Published: (2026)