Imagen de Portada

The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hu, Jiachen, Ai, Rui, Zhong, Han, Chen, Xiaoyu, Wang, Liwei, Wang, Zhaoran, Yang, Zhuoran
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Contextual Dynamic Pricing with Strategic Buyers
por: Liu, Pangpang, et al.
Publicado: (2023)

Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency
por: Wang, Lingxiao, et al.
Publicado: (2022)

Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes
por: Lu, Miao, et al.
Publicado: (2022)

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret
por: Zhong, Han, et al.
Publicado: (2023)

Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Making
por: Lu, Zhuoran, et al.
Publicado: (2024)

Asking Before Acting: Gather Information in Embodied Decision Making with Language Models
por: Chen, Xiaoyu, et al.
Publicado: (2023)

Implicit Strategic Optimization: Rethinking Long-Horizon Decision-Making in Adversarial Poker Environments
por: Xia, Boyang, et al.
Publicado: (2026)

Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
por: Yin, Yutong, et al.
Publicado: (2025)

AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation
por: He, Zhitao, et al.
Publicado: (2024)

Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration
por: Zhong, Hai, et al.
Publicado: (2024)

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment
por: Zhang, Shenao, et al.
Publicado: (2024)

Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference
por: Amorese, Peter, et al.
Publicado: (2024)

CivBench: Progress-Based Evaluation for LLMs' Strategic Decision-Making in Civilization V
por: Chen, John, et al.
Publicado: (2026)

STRIDE: Strategic Iterative Decision-Making for Retrieval-Augmented Multi-Hop Question Answering
por: Chen, Wei, et al.
Publicado: (2026)

MMCD: Multi-Modal Collaborative Decision-Making for Connected Autonomy with Knowledge Distillation
por: Liu, Rui, et al.
Publicado: (2025)

Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making
por: Yuan, Xiaopeng, et al.
Publicado: (2025)

Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies
por: Li, Zhuoran, et al.
Publicado: (2026)

DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making Environments
por: Tang, Wenjie, et al.
Publicado: (2025)

Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-assisted Decision Making
por: Li, Zhuoyan, et al.
Publicado: (2024)

Beyond Scaling: Assessing Strategic Reasoning and Rapid Decision-Making Capability of LLMs in Zero-sum Environments
por: Li, Yang, et al.
Publicado: (2026)

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support
por: Li, Siyan, et al.
Publicado: (2026)

On The Statistical Complexity of Offline Decision-Making
por: Nguyen-Tang, Thanh, et al.
Publicado: (2025)

Online Sequential Decision-Making with Unknown Delays
por: Wu, Ping, et al.
Publicado: (2024)

Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds
por: Huang, Jiayi, et al.
Publicado: (2023)

CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
por: Qi, Siyuan, et al.
Publicado: (2024)

COMPKE: Complex Question Answering under Knowledge Editing
por: Cheng, Keyuan, et al.
Publicado: (2025)

OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction
por: Hu, Junxing, et al.
Publicado: (2026)

KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server
por: Wang, Wenhao, et al.
Publicado: (2024)

ToMPO: Training LLM Strategic Decision Making from a Multi-Agent Perspective
por: Zhang, Yiwen, et al.
Publicado: (2025)

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach
por: Zhang, Chiya, et al.
Publicado: (2024)

ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments
por: Schleibaum, Sören, et al.
Publicado: (2024)

Character is Destiny: Can Role-Playing Language Agents Make Persona-Driven Decisions?
por: Xu, Rui, et al.
Publicado: (2024)

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training
por: Chen, Ruishuo, et al.
Publicado: (2025)

Human-Instruction-Free LLM Self-Alignment with Limited Samples
por: Guo, Hongyi, et al.
Publicado: (2024)

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency
por: Liu, Zhihan, et al.
Publicado: (2023)

Just Say What You Want: Only-prompting Self-rewarding Online Preference Optimization
por: Xu, Ruijie, et al.
Publicado: (2024)

Mediator-Guided Multi-Agent Collaboration among Open-Source Models for Medical Decision-Making
por: Chen, Kaitao, et al.
Publicado: (2025)

Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari Games
por: Yan, Ke
Publicado: (2024)

ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents
por: Mao, Shaoguang, et al.
Publicado: (2023)

Rethinking Prospect Theory for LLMs: Revealing the Instability of Decision-Making under Epistemic Uncertainty
por: Wang, Rui, et al.
Publicado: (2025)