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Decision Making

Papers

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Showing 5151–5200 of 12311 papers

TitleStatusHype
Complexity reduction by symmetry: uncovering the minimal regulatory network for logical computation in bacteria—0
On the use of artificial intelligence in financial regulations and the impact on financial stability—0
Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings—0
Bias and Error Mitigation in Software-Generated Data: An Advanced Search and Optimization Framework Leveraging Generative Code Models—0
Intelligent Resource Allocation for UAV-Based Cognitive NOMA Networks: An Active Inference Approach—0
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control—0
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPsCode0
Spatially-resolved hyperlocal weather prediction and anomaly detection using IoT sensor networks and machine learning techniques—0
Studying the Effects of Sex-related Differences on Brain Age Prediction using brain MR Imaging—0
Sensitivity-Aware Amortized Bayesian InferenceCode0
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning—0
Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained EnvironmentsCode0
Prediction of Arabic Legal Rulings using Large Language Models—0
Advantages of Machine Learning in Bus Transport Analysis—0
Conformal Contextual Robust Optimization—0
Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In during Sparse Matrix DecompositionCode0
Economics unchained: Investigating the role of cryptocurrency, blockchain and intricacies of Bitcoin price fluctuations—0
XRMDN: An Extended Recurrent Mixture Density Network for Short-Term Probabilistic Rider Demand Forecasting with High Volatility—0
Autonomous Tree-search Ability of Large Language Models—0
A Framework for Empowering Reinforcement Learning Agents with Causal Analysis: Enhancing Automated Cryptocurrency Trading—0
Progressively Efficient Learning—0
Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality—0
Augmented Computational Design: Methodical Application of Artificial Intelligence in Generative Design—0
Measuring the Stability of Process Outcome Predictions in Online SettingsCode0
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability—0
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems—0
LLaMA Rider: Spurring Large Language Models to Explore the Open World—0
Efficient Apple Maturity and Damage Assessment: A Lightweight Detection Model with GAN and Attention Mechanism—0
Bad Values but Good Behavior: Learning Highly Misspecified Bandits and MDPs—0
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features—0
Tightening Bounds on Probabilities of Causation By Merging Datasets—0
Visual Attention Prompted Prediction and LearningCode0
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models—0
Towards Running Time Analysis of Interactive Multi-objective Evolutionary Algorithms—0
Risk-informed Resilience Planning of Transmission Systems Against Ice Storms—0
XAI Benchmark for Visual Explanation—0
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios—0
Novelty Detection in Reinforcement Learning with World Models—0
Examining the Potential and Pitfalls of ChatGPT in Science and Engineering Problem-Solving—0
Generative Intrinsic Optimization: Intrinsic Control with Model Learning—0
Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation—0
Question Answering for Electronic Health Records: A Scoping Review of datasets and models—0
If our aim is to build morality into an artificial agent, how might we begin to go about doing so?—0
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles—0
How Does Artificial Intelligence Improve Human Decision-Making? Evidence from the AI-Powered Go Program—0
From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer—0
Learning a Reward Function for User-Preferred Appliance SchedulingCode0
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning—0
NeuroInspect: Interpretable Neuron-based Debugging Framework through Class-conditional VisualizationsCode0
Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified