SOTAVerified

Decision Making

Papers

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Showing 7451–7500 of 12311 papers

TitleStatusHype
DocSegTr: An Instance-Level End-to-End Document Image Segmentation TransformerCode1
Machine Learning for Stock Prediction Based on Fundamental Analysis—0
Probe-Based Interventions for Modifying Agent Behavior—0
Cybertrust: From Explainable to Actionable and Interpretable AI (AI2)—0
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction—0
Hyperparameter Tuning for Deep Reinforcement Learning Applications—0
Promises and Challenges of Causality for Ethical Machine Learning—0
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks—0
Multimodal data matters: language model pre-training over structured and unstructured electronic health recordsCode0
Combining Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning in Robotics—0
Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform—0
State-Conditioned Adversarial Subgoal Generation—0
BTPK-based interpretable method for NER tasks based on Talmudic Public Announcement Logic—0
The Paradox of Choice: Using Attention in Hierarchical Reinforcement LearningCode1
Deeply Explain CNN via Hierarchical Decomposition—0
Distributed Bandits with Heterogeneous Agents—0
An Analysis and Comparison of ACT-R and Soar—0
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study—0
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning—0
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device PlacementCode0
Deep reinforcement learning under signal temporal logic constraints using Lagrangian relaxation—0
Scales and Hedges in a Logic with Analogous Semantics—0
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized TeamingCode0
Generalizing Off-Policy Evaluation From a Causal Perspective For Sequential Decision-Making—0
Exploiting Meta-Cognitive Features for a Machine-Learning-Based One-Shot Group-Decision Aggregation—0
Statistical Learning for Individualized Asset Allocation—0
Using Machine Learning to Test Causal Hypotheses in Conjoint AnalysisCode0
Signal Strength and Noise Drive Feature Preference in CNN Image ClassifiersCode0
POPPINS : A Population-Based Digital Spiking Neuromorphic Processor with Integer Quadratic Integrate-and-Fire Neurons—0
Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms—0
Coupled Support Tensor Machine Classification for Multimodal Neuroimaging DataCode0
Prospective Learning: Principled Extrapolation to the Future—0
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments—0
Explainable Decision Making with Lean and Argumentative Explanations—0
Targeted Optimal Treatment Regime Learning Using Summary Statistics—0
Parameterized Convex Universal Approximators for Decision-Making ProblemsCode0
Potential Game-Based Decision-Making for Autonomous Driving—0
Chatbot Based Solution for Supporting Software Incident Management Process—0
Measuring Non-Probabilistic Uncertainty: A cognitive, logical and computational assessment of known and unknown unknowns—0
Characterizing Big Data Management—0
This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed CampaignCode0
Automated Reinforcement Learning: An Overview—0
Non-Stationary Representation Learning in Sequential Linear Bandits—0
Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation—0
Constraint Learning to Define Trust Regions in Predictive-Model Embedded Optimization—0
Multi-echelon Supply Chains with Uncertain Seasonal Demands and Lead Times Using Deep Reinforcement Learning—0
Explaining Predictive Uncertainty by Looking Back at Model Explanations—0
Subgoal-Based Explanations for Unreliable Intelligent Decision Support Systems—0
STIR^2: Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks—0
Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified