SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3376–3400 of 12311 papers

TitleStatusHype
Towards detailed and interpretable hybrid modeling of continental-scale bird migration—0
Preserving the Privacy of Reward Functions in MDPs through DeceptionCode0
CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis—0
PSO Fuzzy XGBoost Classifier Boosted with Neural Gas Features on EEG Signals in Emotion Recognition—0
KUNPENG: An Embodied Large Model for Intelligent MaritimeCode0
Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic EnvironmentCode0
Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network—0
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control—0
Combining Federated Learning and Control: A Survey—0
Predicting and Understanding Human Action Decisions: Insights from Large Language Models and Cognitive Instance-Based Learning—0
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn—0
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents—0
A Review of Nine Physics Engines for Reinforcement Learning Research—0
Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems—0
CoGS: Causality Constrained Counterfactual Explanations using goal-directed ASP—0
Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy PlansCode0
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing—0
Why should we ever automate moral decision making?—0
When to Accept Automated Predictions and When to Defer to Human Judgment?—0
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning—0
ImPORTance -- Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency—0
Interpretable Differential Diagnosis with Dual-Inference Large Language Models—0
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others—0
Leveraging LLMs to explain DRL decisions for transparent 6G network slicing—0
CM-DQN: A Value-Based Deep Reinforcement Learning Model to Simulate Confirmation BiasCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified