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Decision Making

Papers

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Showing 8201–8250 of 12311 papers

TitleStatusHype
Input Convex Graph Neural Networks: An Application to Optimal Control and Design Optimization—0
Maximizing Ensemble Diversity in Deep Reinforcement Learning—0
An Attempt to Model Human Trust with Reinforcement Learning—0
Practical Conditional Neural Process Via Tractable Dependent Predictions—0
Goal Randomization for Playing Text-based Games without a Reward Function—0
Learning Object-Oriented Dynamics for Planning from Text—0
Meta Attention For Off-Policy Actor-Critic—0
A Risk-Sensitive Policy Gradient Method—0
PDQN - A Deep Reinforcement Learning Method for Planning with Long Delays: Optimization of Manufacturing Dispatching—0
Generalizing Successor Features to continuous domains for Multi-task Learning—0
DL-based prediction of optimal actions of human experts—0
MOBA: Multi-teacher Model Based Reinforcement Learning—0
Asynchronous Multi-Agent Actor-Critic with Macro-Actions—0
Decentralized Cross-Entropy Method for Model-Based Reinforcement Learning—0
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Auto-Encoding Inverse Reinforcement Learning—0
Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property—0
Avoiding Overfitting to the Importance Weights in Offline Policy Optimization—0
CrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games—0
Learning Controllable Elements Oriented Representations for Reinforcement Learning—0
Fight fire with fire: countering bad shortcuts in imitation learning with good shortcuts—0
Neural Bootstrapping Attention for Neural Processes—0
Language Model Pre-training Improves Generalization in Policy Learning—0
Network calibration by weight scaling—0
Nested Policy Reinforcement Learning for Clinical Decision Support—0
Comparing Distributions by Measuring Differences that Affect Decision Making—0
Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms—0
Sequential Communication in Multi-Agent Reinforcement Learning—0
WaveCorr: Deep Reinforcement Learning with Permutation Invariant Policy Networks for Portfolio Management—0
Towards Predictable Feature Attribution: Revisiting and Improving Guided BackPropagation—0
Towards Non-Parametric Models for Confidence Aware Video Prediction on Smooth Dynamics—0
Variational oracle guiding for reinforcement learning—0
What classifiers know what they don't know?—0
Visualisation to Explain Personal Health Trends in Smart Homes—0
Reinforcement Learning for Quantitative Trading—0
How Much Data Analytics is Enough? The ROI of Machine Learning Classification and its Application to Requirements Dependency Classification—0
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations—0
Designed to Cooperate: A Kant-Inspired Ethic of Machine-to-Machine Cooperation—0
An Offline Deep Reinforcement Learning for Maintenance Decision-Making—0
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence—0
An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry—0
Multi-Semantic Image Recognition Model and Evaluating Index for explaining the deep learning models—0
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey—0
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing—0
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving—0
A Sociotechnical View of Algorithmic Fairness—0
The Tensor Brain: A Unified Theory of Perception, Memory and Semantic DecodingCode0
Decision Making For Celebrity Branding: An Opinion Mining Approach Based On Polarity And Sentiment Analysis Using Twitter Consumer-Generated Content (CGC)—0
Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System—0
MCTS Based Agents for Multistage Single-Player Card Game—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified