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Decision Making

Papers

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Showing 7001–7050 of 12311 papers

TitleStatusHype
Power and accountability in reinforcement learning applications to environmental policy—0
Generalization ability and Vulnerabilities to adversarial perturbations: Two sides of the same coin—0
A Domain-adaptive Pre-training Approach for Language Bias Detection in NewsCode0
Limitations of a proposed correction for slow drifts in decision criterion—0
Reinforced Pedestrian Attribute Recognition with Group Optimization Reward—0
Automated machine learning: AI-driven decision making in business analytics—0
Prototyping three key properties of specific curiosity in computational reinforcement learning—0
Neur2SP: Neural Two-Stage Stochastic ProgrammingCode1
Economic model predictive control of integrated energy systems: A multi-time-scale framework—0
Multiple-criteria Heuristic Rating Estimation—0
Distributed Optimization in Distribution Systems with Grid-Forming and Grid-Supporting Inverters—0
Trend analysis and forecasting air pollution in Rwanda—0
Survey on Fair Reinforcement Learning: Theory and Practice—0
Towards Explanation for Unsupervised Graph-Level Representation LearningCode2
A Review of Safe Reinforcement Learning: Methods, Theory and ApplicationsCode2
Planning with Diffusion for Flexible Behavior SynthesisCode3
On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-agent Deep Reinforcement Learning Approach—0
A BCS-GDE Multi-objective Optimization Algorithm for Combined Cooling, Heating and Power Model with Decision Strategies—0
Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise—0
Deep Learning in Business Analytics: A Clash of Expectations and Reality—0
Parallel bandit architecture based on laser chaos for reinforcement learning—0
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam SearchCode1
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging—0
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds—0
Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation—0
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling—0
Hybrid Machine Learning Modeling of Engineering Systems -- A Probabilistic Perspective Tested on a Multiphase Flow Modeling Case Study—0
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders—0
One Explanation to Rule them All -- Ensemble Consistent ExplanationsCode0
Learning latent representations for operational nitrogen response rate prediction—0
Intuitive and Efficient Human-robot Collaboration via Real-time Approximate Bayesian Inference—0
Cyber Risk Assessment for Capital Management—0
Model Agnostic Local Explanations of RejectCode0
2SLS with Multiple Treatments—0
Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies—0
Decision Making for Hierarchical Multi-label Classification with Multidimensional Local Precision Rate—0
Clinical outcome prediction under hypothetical interventions -- a representation learning framework for counterfactual reasoning—0
Developing patient-driven artificial intelligence based on personal rankings of care decision making steps—0
From Cognitive to Computational Modeling: Text-based Risky Decision-Making Guided by Fuzzy Trace Theory—0
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations—0
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis—0
Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law—0
GoalNet: Inferring Conjunctive Goal Predicates from Human Plan Demonstrations for Robot Instruction FollowingCode0
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing—0
Some neighborhood-related fuzzy covering-based rough set models and their applications for decision making—0
Uninorm-like parametric activation functions for human-understandable neural models—0
RTMaps-based Local Dynamic Map for multi-ADAS data fusion—0
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach—0
Modeling Human Behavior Part II -- Cognitive approaches and Uncertainty—0
Large-Scale Sequential Learning for Recommender and Engineering Systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified