SOTAVerified

Decision Making

Papers

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Showing 5051–5100 of 12311 papers

TitleStatusHype
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised LearningCode0
Rethinking Decision Transformer via Hierarchical Reinforcement Learning—0
Revolutionizing Global Food Security: Empowering Resilience through Integrated AI Foundation Models and Data-Driven Solutions—0
Unveiling Black-boxes: Explainable Deep Learning Models for Patent Classification—0
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding—0
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—0
Calibration by Distribution Matching: Trainable Kernel Calibration MetricsCode0
Automated Parliaments: A Solution to Decision Uncertainty and Misalignment in Language Models—0
Closed Drafting as a Case Study for First-Principle Interpretability, Memory, and Generalizability in Deep Reinforcement Learning—0
Decision-Making for Autonomous Vehicles with Interaction-Aware Behavioral Prediction and Social-Attention Neural Network—0
Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple UsersCode0
Early detection of inflammatory arthritis to improve referrals using multimodal machine learning from blood testing, semi-structured and unstructured patient records—0
Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget—0
Modeling the Telemarketing Process using Genetic Algorithms and Extreme Boosting: Feature Selection and Cost-Sensitive Analytical ApproachCode0
A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma—0
Regret-Minimization Algorithms for Multi-Agent Cooperative Learning Systems—0
Human-AI collaboration is not very collaborative yet: A taxonomy of interaction patterns in AI-assisted decision making from a systematic review—0
Stage-Aware Learning for Dynamic Treatments—0
The Expressibility of Polynomial based Attention Scheme—0
Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination—0
Spacecraft Autonomous Decision-Planning for Collision Avoidance: a Reinforcement Learning Approach—0
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game—0
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector—0
Online Decision Mediation—0
Pessimistic Off-Policy Multi-Objective Optimization—0
Dense Retrieval as Indirect Supervision for Large-space Decision MakingCode0
Explaining by Imitating: Understanding Decisions by Interpretable Policy LearningCode0
A Comprehensive and Reliable Feature Attribution Method: Double-sided Remove and Reconstruct (DoRaR)Code0
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?Code0
From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlooks—0
Bayesian Prognostic Covariate Adjustment With Additive Mixture Priors—0
Black-Box Optimization with Implicit Constraints for Public PolicyCode0
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models—0
Boosting Stock Price Prediction with Anticipated Macro Policy Changes—0
Deep Reinforcement Learning for Weapons to Targets Assignment in a Hypersonic strike—0
A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainability—0
The impact of responding to patient messages with large language model assistanceCode0
Utilizing Language Models for Energy Load ForecastingCode0
Bayesian Neural Controlled Differential Equations for Treatment Effect EstimationCode0
Can LLMs Grade Short-Answer Reading Comprehension Questions : An Empirical Study with a Novel Dataset—0
High-Dimensional Prediction for Sequential Decision Making—0
Parcel loss prediction in last-mile delivery: deep and non-deep approaches with insights from Explainable AI—0
Identifying Reasons for Bias: An Argumentation-Based Approach—0
Human-centred explanation of rule-based decision-making systems in the legal domain—0
Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical ErrorsCode0
Causal Q-Aggregation for CATE Model Selection—0
ClearMark: Intuitive and Robust Model Watermarking via Transposed Model Training—0
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks—0
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models—0
AI Agent as Urban Planner: Steering Stakeholder Dynamics in Urban Planning via Consensus-based Multi-Agent Reinforcement Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified