SOTAVerified

Decision Making

Papers

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Showing 4351–4400 of 12311 papers

TitleStatusHype
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding—0
Unveiling Black-boxes: Explainable Deep Learning Models for Patent Classification—0
Closed Drafting as a Case Study for First-Principle Interpretability, Memory, and Generalizability in Deep Reinforcement Learning—0
Interpretable Prototype-based Graph Information BottleneckCode1
The Expressibility of Polynomial based Attention Scheme—0
Early detection of inflammatory arthritis to improve referrals using multimodal machine learning from blood testing, semi-structured and unstructured patient records—0
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised LearningCode1
Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination—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
Modeling the Telemarketing Process using Genetic Algorithms and Extreme Boosting: Feature Selection and Cost-Sensitive Analytical ApproachCode0
Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget—0
A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma—0
Stage-Aware Learning for Dynamic Treatments—0
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game—0
Spacecraft Autonomous Decision-Planning for Collision Avoidance: a Reinforcement Learning Approach—0
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector—0
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray ImagesCode1
Explaining by Imitating: Understanding Decisions by Interpretable Policy LearningCode0
Dense Retrieval as Indirect Supervision for Large-space Decision MakingCode0
Online Decision Mediation—0
Pessimistic Off-Policy Multi-Objective Optimization—0
Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement LearningCode1
Boosting Stock Price Prediction with Anticipated Macro Policy Changes—0
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
A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainability—0
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?Code0
Deep Reinforcement Learning for Weapons to Targets Assignment in a Hypersonic strike—0
A Comprehensive and Reliable Feature Attribution Method: Double-sided Remove and Reconstruct (DoRaR)Code0
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models—0
The impact of responding to patient messages with large language model assistanceCode0
Can LLMs Grade Short-Answer Reading Comprehension Questions : An Empirical Study with a Novel Dataset—0
High-Dimensional Prediction for Sequential Decision Making—0
Bayesian Neural Controlled Differential Equations for Treatment Effect EstimationCode0
Utilizing Language Models for Energy Load ForecastingCode0
Unknown Health States Recognition With Collective Decision Based Deep Learning Networks In Predictive Maintenance Applications—0
Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical ErrorsCode0
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models—0
Using Knowledge Awareness to improve Safety of Autonomous Driving—0
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks—0
Strategizing EV Charging and Renewable Integration in Texas—0
Causal Q-Aggregation for CATE Model Selection—0
Sum-of-Parts: Faithful Attributions for Groups of FeaturesCode0
Identifying Reasons for Bias: An Argumentation-Based Approach—0
Human-centred explanation of rule-based decision-making systems in the legal domain—0
AI Agent as Urban Planner: Steering Stakeholder Dynamics in Urban Planning via Consensus-based Multi-Agent Reinforcement Learning—0
ClearMark: Intuitive and Robust Model Watermarking via Transposed Model Training—0
Policy Optimization via Adv2: Adversarial Learning on Advantage Functions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified