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Decision Making

Papers

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Showing 9701–9750 of 12311 papers

TitleStatusHype
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions—0
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review—0
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds—0
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment—0
Noticing Motion Patterns: Temporal CNN with a Novel Convolution Operator for Human Trajectory Prediction—0
Human-centered collaborative robots with deep reinforcement learning—0
Learning "What-if" Explanations for Sequential Decision-Making—0
Optimal evolutionary decision-making to store immune memory—0
Convex Regularization in Monte-Carlo Tree Search—0
Falsification-Based Robust Adversarial Reinforcement Learning—0
An ensemble learning framework based on group decision making—0
Using Affective Features from Media Content Metadata for Better Movie Recommendations—0
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset—0
Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes—0
Parkinson's Disease Detection Using Ensemble Architecture from MR Images—0
Similarity Scoring for Dialogue Behaviour Comparison—0
What are the critical barriers to the development of hydrogen refueling stations in China? A modified fuzzy DEMATEL approach—0
Enforcing Almost-Sure Reachability in POMDPsCode0
Model-based Reinforcement Learning: A Survey—0
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistencyCode0
On Bellman's Optimality Principle for zs-POSGs—0
Unsupervised Calibration under Covariate Shift—0
Variational Autoencoding of PDE Inverse Problems—0
Automated Stitching of Coral Reef Images and Extraction of Features for Damselfish Shoaling Behavior Analysis—0
A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem—0
A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming—0
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance—0
Evaluation of Embedded Platforms for Lower Limb Prosthesis with Visual Sensing Capabilities—0
A Unifying Framework for Reinforcement Learning and Planning—0
Learning Optimal Distributionally Robust Individualized Treatment Rules—0
GINNs: Graph-Informed Neural Networks for Multiscale Physics—0
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift—0
Reinforcement Learning and its Connections with Neuroscience and Psychology—0
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making—0
Adversarial Machine Learning based Partial-model Attack in IoT—0
Circuit Routing Using Monte Carlo Tree Search and Deep Neural Networks—0
Explainable robotic systems: Understanding goal-driven actions in a reinforcement learning scenario—0
Class-Similarity Based Label Smoothing for Confidence Calibration—0
Model-Free Voltage Regulation of Unbalanced Distribution Network Based on Surrogate Model and Deep Reinforcement Learning—0
Learning-to-Fly: Learning-based Collision Avoidance for Scalable Urban Air Mobility—0
Fast, Optimal, and Targeted Predictions using Parametrized Decision Analysis—0
Post-hoc Calibration of Neural Networks by g-Layers—0
A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records—0
On the Relationship Between Active Inference and Control as Inference—0
Show me the Way: Intrinsic Motivation from Demonstrations—0
Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty—0
Rule-based epidemic models—0
How fair can we go in machine learning? Assessing the boundaries of fairness in decision treesCode0
Evolutionary Processes in Quantum Decision Theory—0
Artificial intelligence in space—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified