Imagen de Portada

YRC-Bench: A Benchmark for Learning to Coordinate with Experts

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Danesh, Mohamad H., Khanh, Nguyen X., Trinh, Tu, Plaut, Benjamin
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Getting By Goal Misgeneralization With a Little Help From a Mentor
por: Trinh, Tu, et al.
Publicado: (2024)

Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A
por: Plaut, Benjamin, et al.
Publicado: (2024)

Safety Training Persists Through Helpfulness Optimization in LLM Agents
por: Plaut, Benjamin
Publicado: (2026)

Learning When Not to Learn: Risk-Sensitive Abstention in Bandits with Unbounded Rewards
por: Liaw, Sarah, et al.
Publicado: (2025)

On Linear Mode Connectivity of Mixture-of-Experts Architectures
por: Tran, Viet-Hoang, et al.
Publicado: (2025)

Avoiding Catastrophe in Online Learning by Asking for Help
por: Plaut, Benjamin, et al.
Publicado: (2024)

Safe Learning Under Irreversible Dynamics via Asking for Help
por: Plaut, Benjamin, et al.
Publicado: (2025)

Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
por: Azran, Guy, et al.
Publicado: (2023)

Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients
por: Nguyen, Minh Duong, et al.
Publicado: (2024)

Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning
por: Trinh, Tu, et al.
Publicado: (2022)

Drift Q-Learning
por: Houssaini, Anas, et al.
Publicado: (2026)

Language Models are Bounded Pragmatic Speakers: Understanding RLHF from a Bayesian Cognitive Modeling Perspective
por: Nguyen, Khanh
Publicado: (2023)

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions
por: Khorram, Saeed, et al.
Publicado: (2024)

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation
por: Danesh, Mohamad H., et al.
Publicado: (2025)

GraphAllocBench: A Flexible Benchmark for Preference-Conditioned Multi-Objective Policy Learning
por: Jiang, Zhiheng, et al.
Publicado: (2026)

HUANet: Hard-Constrained Unrolled ADMM for Constrained Convex Optimization
por: Tran, Trinh, et al.
Publicado: (2026)

Expert Merging in Sparse Mixture of Experts with Nash Bargaining
por: Nguyen, Dung V., et al.
Publicado: (2025)

ML-Driven Approaches to Combat Medicare Fraud: Advances in Class Imbalance Solutions, Feature Engineering, Adaptive Learning, and Business Impact
por: Farahmandazad, Dorsa, et al.
Publicado: (2025)

DHG-Bench: A Comprehensive Benchmark for Deep Hypergraph Learning
por: Li, Fan, et al.
Publicado: (2025)

TopoBench: A Framework for Benchmarking Topological Deep Learning
por: Telyatnikov, Lev, et al.
Publicado: (2024)

Mixture of Experts Meets Prompt-Based Continual Learning
por: Le, Minh, et al.
Publicado: (2024)

CausalBench: A Comprehensive Benchmark for Causal Learning Capability of LLMs
por: Zhou, Yu, et al.
Publicado: (2024)

CAMEx: Curvature-aware Merging of Experts
por: Nguyen, Dung V., et al.
Publicado: (2025)

Toward Cost-efficient Adaptive Clinical Trials in Knee Osteoarthritis with Reinforcement Learning
por: Nguyen, Khanh, et al.
Publicado: (2024)

CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases
por: Chronis, Yannis, et al.
Publicado: (2024)

ExtractBench: A Benchmark and Evaluation Methodology for Complex Structured Extraction
por: Ferguson, Nick, et al.
Publicado: (2026)

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning
por: Wu, Baoyuan, et al.
Publicado: (2024)

RouterBench: A Benchmark for Multi-LLM Routing System
por: Hu, Qitian Jason, et al.
Publicado: (2024)

SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning
por: Rieff, Melanie, et al.
Publicado: (2025)

Multiphysics Bench: Benchmarking and Investigating Scientific Machine Learning for Multiphysics PDEs
por: Yang, Changfan, et al.
Publicado: (2025)

Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning
por: Kapkiç, Ahmet, et al.
Publicado: (2024)

LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions
por: Brahmbhatt, Anand, et al.
Publicado: (2023)

Check Yourself Before You Wreck Yourself: Selectively Quitting Improves LLM Agent Safety
por: Bonagiri, Vamshi Krishna, et al.
Publicado: (2025)

Do Chatbot LLMs Talk Too Much? The YapBench Benchmark
por: Borisov, Vadim, et al.
Publicado: (2026)

Contractive Diffusion Policies: Robust Action Diffusion via Contractive Score-Based Sampling with Differential Equations
por: Abyaneh, Amin, et al.
Publicado: (2026)

RelBench: A Benchmark for Deep Learning on Relational Databases
por: Robinson, Joshua, et al.
Publicado: (2024)

On Parameter Estimation in Deviated Gaussian Mixture of Experts
por: Nguyen, Huy, et al.
Publicado: (2024)

Adam Exploits $\ell_\infty$-geometry of Loss Landscape via Coordinate-wise Adaptivity
por: Xie, Shuo, et al.
Publicado: (2024)

SemBench: A Benchmark for Semantic Query Processing Engines
por: Lao, Jiale, et al.
Publicado: (2025)

PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis
por: Wu, Yan, et al.
Publicado: (2024)