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Decision Making

Papers

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Showing 4301–4350 of 12311 papers

TitleStatusHype
PcLast: Discovering Plannable Continuous Latent States—0
Flexible Multi-Generator Model with Fused Spatiotemporal Graph for Trajectory Prediction—0
Evolution of Collective Decision-Making Mechanisms for Collective Perception—0
FinA: Fairness of Adverse Effects in Decision-Making of Human-Cyber-Physical-System—0
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search—0
Estimating Primary Substation Boundaries and the Value of Mapping the Electrical Network Infrastructure of Great Britain—0
Goal-Oriented Wireless Communication Resource Allocation for Cyber-Physical Systems—0
Nexus at ArAIEval Shared Task: Fine-Tuning Arabic Language Models for Propaganda and Disinformation Detection—0
ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI AgentsCode1
Does Explainable AI Have Moral Value?—0
Procedural Fairness Through Decoupling Objectionable Data Generating ComponentsCode0
TFNet: Tuning Fork Network with Neighborhood Pixel Aggregation for Improved Building Footprint Extraction—0
Decoy Effect in Search Interaction: A Pilot Study—0
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural NetworksCode0
A Survey of the Various Methodologies Towards making Artificial Intelligence More Explainable—0
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities—0
Causal Models Applied to the Patterns of Human Migration due to Climate Change—0
Leveraging Large Language Models for Collective Decision-Making—0
An algorithmic framework for synthetic cost-aware decision making in molecular designCode1
The Case for Controls: Identifying outbreak risk factors through case-control comparisons—0
Safe Sequential Optimization for Switching Environments—0
Using General Value Functions to Learn Domain-Backed Inventory Management Policies—0
Emergence of Abstract State Representations in Embodied Sequence Modeling—0
DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries—0
Taking a PEEK into YOLOv5 for Satellite Component Recognition via Entropy-based Visual Explanations—0
Epidemic Decision-making System Based Federated Reinforcement Learning—0
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies—0
Efficient Generalized Low-Rank Tensor Contextual Bandits—0
ProAgent: From Robotic Process Automation to Agentic Process AutomationCode2
Efficient Symbolic Policy Learning with Differentiable Symbolic ExpressionCode0
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning—0
On Preserving the Knowledge of Long Clinical Texts—0
Log-Likelihood Score Level Fusion for Improved Cross-Sensor Smartphone Periocular Recognition—0
M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place—0
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised LearningCode0
An open-source, three-dimensional growth model of the mandible—0
Rethinking Decision Transformer via Hierarchical Reinforcement Learning—0
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning—0
Advances in Embodied Navigation Using Large Language Models: A SurveyCode1
Model-driven Engineering for Machine Learning Components: A Systematic Literature Review—0
A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma based on CT Images—0
Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?Code0
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards—0
Calibration by Distribution Matching: Trainable Kernel Calibration MetricsCode0
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—0
Automated Parliaments: A Solution to Decision Uncertainty and Misalignment in Language Models—0
Unveiling Black-boxes: Explainable Deep Learning Models for Patent Classification—0
Revolutionizing Global Food Security: Empowering Resilience through Integrated AI Foundation Models and Data-Driven Solutions—0
Closed Drafting as a Case Study for First-Principle Interpretability, Memory, and Generalizability in Deep Reinforcement Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified