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Decision Making

Papers

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Showing 3701–3750 of 12311 papers

TitleStatusHype
The Economic Implications of Large Language Model Selection on Earnings and Return on Investment: A Decision Theoretic Model—0
Leveraging Offline Data in Linear Latent Bandits—0
Ontology-Enhanced Decision-Making for Autonomous Agents in Dynamic and Partially Observable Environments—0
LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence—0
Collage is the New Writing: Exploring the Fragmentation of Text and User Interfaces in AI Tools—0
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation—0
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators—0
Make Safe Decisions in Power System: Safe Reinforcement Learning Based Pre-decision Making for Voltage Stability Emergency Control—0
An Evolutionary Framework for Connect-4 as Test-Bed for Comparison of Advanced Minimax, Q-Learning and MCTS—0
Detection of decision-making manipulation in the pairwise comparisons method—0
Variational Offline Multi-agent Skill Discovery—0
Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models—0
Improving Health Professionals' Onboarding with AI and XAI for Trustworthy Human-AI Collaborative Decision Making—0
Causal Concept Graph Models: Beyond Causal Opacity in Deep LearningCode0
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model—0
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching RegularizationCode0
SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation—0
On Bits and Bandits: Quantifying the Regret-Information Trade-offCode0
Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series MeasurementsCode0
Front-propagation Algorithm: Explainable AI Technique for Extracting Linear Function Approximations from Neural Networks—0
Federated Learning for Non-factorizable Models using Deep Generative Prior ApproximationsCode0
A Prudent Framework for Understanding Risk-Awareness in Demand Response—0
Generation of synthetic data using breast cancer dataset and classification with resnet18—0
Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness—0
A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks—0
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated LearningCode0
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection—0
Federated Offline Policy Optimization with Dual Regularization—0
Serving economic prosperity: economic impact assessments (EIA) on Earth observation-based services and tools by SERVIR—0
Learning Invariant Causal Mechanism from Vision-Language Models—0
Inference of Utilities and Time Preference in Sequential Decision-Making—0
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making—0
Concept-based Explainable Malignancy Scoring on Pulmonary Nodules in CT Images—0
A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs—0
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning—0
Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model DevelopmentCode0
Large Language Models for Explainable Decisions in Dynamic Digital TwinsCode0
A motion-based compression algorithm for resource-constrained video camera traps—0
DIDI: Diffusion-Guided Diversity for Offline Behavioral GenerationCode0
Efficiently Training Deep-Learning Parametric Policies using Lagrangian Duality—0
Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time—0
Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization—0
Iterative Causal Segmentation: Filling the Gap between Market Segmentation and Marketing Strategy—0
Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making—0
Decoding Decision Reasoning: A Counterfactual-Powered Model for Knowledge Discovery—0
Decision-Focused Forecasting: A Differentiable Multistage Optimisation ArchitectureCode0
High Rank Path Development: an approach of learning the filtration of stochastic processes—0
T^2 of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models—0
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography—0
Local Causal Discovery for Structural Evidence of Direct DiscriminationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified