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Decision Making
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Rule Forest: Interpretable Ensembles of LLM-Generated Questions for Rare-Outcome Prediction
Learning Reusable Behavioral Motifs for Continuous Animal Behavior Modeling
X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis
Human Responses to Algorithmic Correction: Evidence from Centre Court
Unraveling Groundwater Stress: A Model Generalizable Across Space and Time Reveals Co-Declining Water Tables and Recharge Across Bangladesh
CubeDAgger: Interactive Imitation Learning for Dynamic Systems with Efficient yet Low-risk Interaction
Preserving the Privacy of Reward Functions in MDPs through Deception
The Price of Failure Risk: Clipped Barrier Policy Gradients with Convex Regularization
Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature Fusion
Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved)
Exploiting Constraint Reasoning to Build Graphical Explanations for Mixed-Integer Linear Programming
Higher-Order Pattern Unification Modulo Similarity Relations
The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound
Detección y Cuantificación de Erosión Fluvial con Visión Artificial
CogDDN: A Cognitive Demand-Driven Navigation with Decision Optimization and Dual-Process Thinking
Guiding LLM Decision-Making with Fairness Reward Models
Acting and Planning with Hierarchical Operational Models on a Mobile Robot: A Study with RAE+UPOM
FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
Leveraging RAG-LLMs for Urban Mobility Simulation and Analysis
LLM-Stackelberg Games: Conjectural Reasoning Equilibria and Their Applications to Spearphishing
InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior
Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset
LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving
Stable Acoustic Relay Assignment with High Throughput via Lase Chaos-based Reinforcement Learning
Feature-Based vs. GAN-Based Learning from Demonstrations: When and Why
Fast Bilateral Teleoperation and Imitation Learning Using Sensorless Force Control via Accurate Dynamics Model
EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow
VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems
MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents
Inaugural MOASEI Competition at AAMAS'2025: A Technical Report
LTLCrit: A Temporal Logic-based LLM Critic for Safe and Efficient Embodied Agents
Enhancing LLM Agent Safety via Causal Influence Prompting
NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments
Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning
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