Copertina

Cost-Aware Query Policies in Active Learning for Efficient Autonomous Robotic Exploration

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Akins, Sapphira, Mertens, Hans, Zhu, Frances
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics Information Retrieval Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Informative Path Planning to Explore and Map Unknown Planetary Surfaces with Gaussian Processes
di: Akemoto, Ashten, et al.
Pubblicazione: (2025)

Efficient and Effective Query Context-Aware Learning-to-Rank Model for Sequential Recommendation
di: Dzhoha, Andrii, et al.
Pubblicazione: (2025)

Event-Centric World Modeling with Memory-Augmented Retrieval for Embodied Decision-Making
di: Fan, Zhaowen, et al.
Pubblicazione: (2026)

Intent-Aware Neural Query Reformulation for Behavior-Aligned Product Search
di: Yetukuri, Jayanth, et al.
Pubblicazione: (2025)

LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture
di: Li, Yanhui, et al.
Pubblicazione: (2025)

Where to Explore: A Reach and Cost-Aware Approach for Unbiased Data Collection in Recommender Systems
di: Chen, Qiang, et al.
Pubblicazione: (2025)

Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models
di: Goswami, Dipam, et al.
Pubblicazione: (2025)

Warmer for Less: A Cost-Efficient Strategy for Cold-Start Recommendations at Pinterest
di: Ebrahimi, Saeed, et al.
Pubblicazione: (2025)

Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval
di: Polonuer, Joaquín, et al.
Pubblicazione: (2026)

CASP: Support-Aware Offline Policy Selection for Two-Stage Recommender Systems
di: Chapagain, Nilson
Pubblicazione: (2026)

Efficient Vector Search in the Wild: One Model for Multi-K Queries
di: Peng, Yifan, et al.
Pubblicazione: (2026)

Contextual Bandits in Payment Processing: Non-uniform Exploration and Supervised Learning
di: Vangara, Akhila, et al.
Pubblicazione: (2024)

Efficient Multivector Retrieval with Token-Aware Clustering and Hierarchical Indexing
di: Martinico, Silvio, et al.
Pubblicazione: (2026)

Off-Policy Evaluation and Learning for Matching Markets
di: Hayashi, Yudai, et al.
Pubblicazione: (2025)

Hierarchical Query Classification in E-commerce Search
di: He, Bing, et al.
Pubblicazione: (2024)

AIF: Asynchronous Inference Framework for Cost-Effective Pre-Ranking
di: Kou, Zhi, et al.
Pubblicazione: (2025)

Bayesian Active Learning for Multi-Criteria Comparative Judgement in Educational Assessment
di: Gray, Andy, et al.
Pubblicazione: (2025)

Multi-Objective Recommendation via Multivariate Policy Learning
di: Jeunen, Olivier, et al.
Pubblicazione: (2024)

LLM-PQA: LLM-enhanced Prediction Query Answering
di: Li, Ziyu, et al.
Pubblicazione: (2024)

Improving Sequential Query Recommendation with Immediate User Feedback
di: Parambath, Shameem A Puthiya, et al.
Pubblicazione: (2022)

IntOPE: Off-Policy Evaluation in the Presence of Interference
di: Bai, Yuqi, et al.
Pubblicazione: (2024)

From Prompting to Alignment: A Generative Framework for Query Recommendation
di: Min, Erxue, et al.
Pubblicazione: (2025)

Kleinkram: Open Robotic Data Management
di: Püntener, Cyrill, et al.
Pubblicazione: (2025)

Context Features Are Cheap: Rank-Aware Decomposition for Efficient Feature Interaction in Recommender Systems
di: Tkach, Yevgeny
Pubblicazione: (2026)

Contrastive Learning for Diversity-Aware Product Recommendations in Retail
di: Karlis, Vasileios, et al.
Pubblicazione: (2026)

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

SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG
di: Zhang, Xuechen, et al.
Pubblicazione: (2025)

Generative Auto-Bidding with Value-Guided Explorations
di: Gao, Jingtong, et al.
Pubblicazione: (2025)

Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank
di: Gupta, Shashank, et al.
Pubblicazione: (2024)

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

Learning Smooth Distance Functions via Queries
di: Kumar, Akash, et al.
Pubblicazione: (2024)

Enhancing Mobile "How-to" Queries with Automated Search Results Verification and Reranking
di: Ding, Lei, et al.
Pubblicazione: (2024)

Search Intenion Network for Personalized Query Auto-Completion in E-Commerce
di: Bao, Wei, et al.
Pubblicazione: (2024)

The Wisdom of Many Queries: Complexity-Diversity Principle for Dense Retriever Training
di: Feng, Xincan, et al.
Pubblicazione: (2026)

On-the-Fly OVD Adaptation with FLAME: Few-shot Localization via Active Marginal-Samples Exploration
di: Refael, Yehonathan, et al.
Pubblicazione: (2025)

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

Heterogeneous Sequel-Aware Graph Neural Networks for Sequential Learning
di: Tiwari, Anushka, et al.
Pubblicazione: (2025)

Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems
di: Zhang, Jiaming, et al.
Pubblicazione: (2026)

Design and Experimental Validation of an Autonomous USV for Sensor Fusion-Based Navigation in GNSS-Denied Environments
di: Cohen-Salmon, Samuel, et al.
Pubblicazione: (2025)

Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search
di: Bruch, Sebastian, et al.
Pubblicazione: (2024)