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Decision Making

Papers

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Showing 5351–5400 of 12311 papers

TitleStatusHype
ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain FeedbackCode1
The Leximin Approach for a Sequence of Collective Decisions—0
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches—0
Sample Complexity of Variance-reduced Distributionally Robust Q-learning—0
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles—0
Bayesian Decision Making to Localize Visual Queries in 2DCode0
InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation based on Visual IllusionCode0
Decom--CAM: Tell Me What You See, In Details! Feature-Level Interpretation via Decomposition Class Activation Map—0
Fair Clustering via Hierarchical Fair-Dirichlet Process—0
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision MakingCode0
Dynamic User Segmentation and Usage Profiling—0
Hierarchical Deep Counterfactual Regret MinimizationCode0
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities—0
Data Minimization at Inference Time—0
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-MakingCode0
AdaPlanner: Adaptive Planning from Feedback with Language ModelsCode1
Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds—0
Using Limited Trial Evidence to Credibly Choose Treatment Dosage when Efficacy and Adverse Effects Weakly Increase with Dose—0
Self-Supervised Reinforcement Learning that Transfers using Random Features—0
The Economics of Augmented and Virtual Reality—0
Better Batch for Deep Probabilistic Time Series ForecastingCode0
Adversarial Attacks on Online Learning to Rank with Click Feedback—0
Preliminary studies: Comparing LSTM and BLSTM Deep Neural Networks for Power Consumption Prediction—0
Future-conditioned Unsupervised Pretraining for Decision TransformerCode1
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models—0
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize—0
Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making—0
Koopman Kernel RegressionCode1
Prototype-Based Interpretability for Legal Citation Prediction—0
Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions—0
C-MCTS: Safe Planning with Monte Carlo Tree SearchCode0
Asking Before Acting: Gather Information in Embodied Decision Making with Language Models—0
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers—0
CUEING: a lightweight model to Capture hUman attEntion In driviNG—0
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global WorkspaceCode0
Patient Outcome Predictions Improve Operations at a Large Hospital Network—0
Market Making with Deep Reinforcement Learning from Limit Order BooksCode1
Counterfactual Generative Models for Time-Varying TreatmentsCode0
Value of Information Analysis for rationalising information gathering in building energy analysisCode0
TransWorldNG: Traffic Simulation via Foundation ModelCode1
Towards a Capability Assessment Model for the Comprehension and Adoption of AI in Organisations—0
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective—0
Think Before You Act: Decision Transformers with Working MemoryCode1
Trends and Challenges Towards an Effective Data-Driven Decision Making in UK SMEs: Case Studies and Lessons Learnt from the Analysis of 85 SMEs—0
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical ImagingCode0
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference ResolutionCode0
Computer Vision for Construction Progress Monitoring: A Real-Time Object Detection Approach—0
A Mini Review on the utilization of Reinforcement Learning with OPC UA—0
AutoPlan: Automatic Planning of Interactive Decision-Making Tasks With Large Language ModelsCode0
Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified