SOTAVerified

Decision Making

Papers

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Showing 2451–2475 of 12311 papers

TitleStatusHype
Towards detailed and interpretable hybrid modeling of continental-scale bird migration—0
Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine—0
PSO Fuzzy XGBoost Classifier Boosted with Neural Gas Features on EEG Signals in Emotion Recognition—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
Combining Federated Learning and Control: A Survey—0
KUNPENG: An Embodied Large Model for Intelligent MaritimeCode0
Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network—0
Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic EnvironmentCode0
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control—0
Predicting and Understanding Human Action Decisions: Insights from Large Language Models and Cognitive Instance-Based Learning—0
Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems—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
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing—0
Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy PlansCode0
A Review of Nine Physics Engines for Reinforcement Learning Research—0
CoGS: Causality Constrained Counterfactual Explanations using goal-directed ASP—0
Leveraging LLMs to explain DRL decisions for transparent 6G network slicing—0
ImPORTance -- Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency—0
Long-Term Fairness in Sequential Multi-Agent Selection with Positive ReinforcementCode0
Interpretable Differential Diagnosis with Dual-Inference Large Language Models—0
Why should we ever automate moral decision making?—0
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning—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