SOTAVerified

Decision Making

Papers

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Showing 10901–10950 of 12311 papers

TitleStatusHype
Complementary reinforcement learning towards explainable agents—0
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications—0
Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning—0
Learn to Interpret Atari AgentsCode0
Resolving the measurement uncertainty paradox in ecological managementCode0
Predicting with Proxies: Transfer Learning in High Dimension—0
Multi-task Prediction of Patient Workload—0
Intent Detection and Slots Prompt in a Closed-Domain Chatbot—0
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees—0
Can rationality be measured?—0
Attention Branch Network: Learning of Attention Mechanism for Visual ExplanationCode0
Goal-based Course RecommendationCode0
Optimal models of decision-making in dynamic environments—0
Human-AI Learning Performance in Multi-Armed Bandits—0
Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents—0
The Design and Implementation of XiaoIce, an Empathetic Social Chatbot—0
Decentralized Decision-Making Over Multi-Task Networks—0
Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics—0
Privacy-Preserving Distributed Parameter Estimation for Probability Distribution of Wind Power Forecast Error—0
Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing—0
A Parametric Top-View Representation of Complex Road Scenes—0
EEG-based Communication with a Predictive Text Algorithm—0
Soft Actor-Critic Algorithms and ApplicationsCode1
Representation, Justification and Explanation in a Value Driven Agent: An Argumentation-Based Approach—0
The Jiminy Advisor: Moral Agreements Among Stakeholders Based on Norms and Argumentation—0
Individual Fairness in Hindsight—0
Building Ethically Bounded AI—0
Building Ethics into Artificial Intelligence—0
From Fair Decision Making to Social Equality—0
Online Learning and Decision-Making under Generalized Linear Model with High-Dimensional Data—0
DSNet for Real-Time Driving Scene Semantic Segmentation—0
Continual Learning Augmented Investment Decisions—0
The Role of Normware in Trustworthy and Explainable AI—0
Fooling Network Interpretation in Image Classification—0
Tri-axial Self-Attention for Concurrent Activity Recognition—0
Interpretable Deep Learning under Fire—0
Image Score: How to Select Useful Samples—0
Improving Clinical Predictions through Unsupervised Time Series Representation Learning—0
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments—0
Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models—0
Adaptive Learning with Unknown Information Flows—0
Learning Loop Invariants for Program VerificationCode0
Information-based Adaptive Stimulus Selection to Optimize Communication Efficiency in Brain-Computer Interfaces—0
Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward—0
Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making—0
Automating Bayesian optimization with Bayesian optimization—0
Monte-Carlo Tree Search for Constrained POMDPs—0
Structural Causal Bandits: Where to Intervene?Code0
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint—0
Fuzzy expert system for prediction of prostate cancer—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified