SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7901–7950 of 12311 papers

TitleStatusHype
Cognitive control as a multivariate optimization problem—0
An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification—0
Multi-Agent Algorithmic Recourse—0
A survey on datasets for fairness-aware machine learningCode1
From SLAM to Situational Awareness: Challenges and Survey—0
How To Not Drive: Learning Driving Constraints from Demonstration—0
Predicting erectile dysfunction after treatment for localized prostate cancerCode0
Emergence of Theory of Mind Collaboration in Multiagent Systems—0
Crowdsourcing through Cognitive Opportunistic Networks—0
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance—0
An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics—0
—0
Variational oracle guiding for reinforcement learning—0
Towards Predictable Feature Attribution: Revisiting and Improving Guided BackPropagation—0
WaveCorr: Deep Reinforcement Learning with Permutation Invariant Policy Networks for Portfolio Management—0
Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms—0
Sequential Communication in Multi-Agent Reinforcement Learning—0
Network calibration by weight scaling—0
Meta Attention For Off-Policy Actor-Critic—0
Nested Policy Reinforcement Learning for Clinical Decision Support—0
Learning Controllable Elements Oriented Representations for Reinforcement Learning—0
An Attempt to Model Human Trust with Reinforcement Learning—0
Practical Conditional Neural Process Via Tractable Dependent Predictions—0
Learning to Abstain in the Presence of Uninformative Data—0
Fight fire with fire: countering bad shortcuts in imitation learning with good shortcuts—0
Neural Bootstrapping Attention for Neural Processes—0
Auto-Encoding Inverse Reinforcement Learning—0
MOBA: Multi-teacher Model Based Reinforcement Learning—0
Maximizing Ensemble Diversity in Deep Reinforcement Learning—0
PDQN - A Deep Reinforcement Learning Method for Planning with Long Delays: Optimization of Manufacturing Dispatching—0
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and ForecastingCode1
DL-based prediction of optimal actions of human experts—0
Avoiding Overfitting to the Importance Weights in Offline Policy Optimization—0
What classifiers know what they don't know?—0
Towards Non-Parametric Models for Confidence Aware Video Prediction on Smooth Dynamics—0
Generalizing Successor Features to continuous domains for Multi-task Learning—0
Input Convex Graph Neural Networks: An Application to Optimal Control and Design Optimization—0
Learning Object-Oriented Dynamics for Planning from Text—0
Decentralized Cross-Entropy Method for Model-Based Reinforcement Learning—0
Asynchronous Multi-Agent Actor-Critic with Macro-Actions—0
A Risk-Sensitive Policy Gradient Method—0
Goal Randomization for Playing Text-based Games without a Reward Function—0
Language Model Pre-training Improves Generalization in Policy Learning—0
Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property—0
CrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games—0
Comparing Distributions by Measuring Differences that Affect Decision Making—0
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey—0
Visualisation to Explain Personal Health Trends in Smart Homes—0
How Much Data Analytics is Enough? The ROI of Machine Learning Classification and its Application to Requirements Dependency Classification—0
An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry—0
Show:102550
← PrevPage 159 of 247Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified