SOTAVerified

Decision Making

Papers

Showing 24512500 of 12311 papers

TitleStatusHype
Towards detailed and interpretable hybrid modeling of continental-scale bird migration0
Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine0
PSO Fuzzy XGBoost Classifier Boosted with Neural Gas Features on EEG Signals in Emotion Recognition0
CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis0
Preserving the Privacy of Reward Functions in MDPs through DeceptionCode0
Combining Federated Learning and Control: A Survey0
Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network0
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control0
Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic EnvironmentCode0
KUNPENG: An Embodied Large Model for Intelligent MaritimeCode0
Predicting and Understanding Human Action Decisions: Insights from Large Language Models and Cognitive Instance-Based Learning0
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn0
Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems0
CoGS: Causality Constrained Counterfactual Explanations using goal-directed ASP0
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing0
Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy PlansCode0
A Review of Nine Physics Engines for Reinforcement Learning Research0
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents0
Leveraging LLMs to explain DRL decisions for transparent 6G network slicing0
ImPORTance -- Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency0
Long-Term Fairness in Sequential Multi-Agent Selection with Positive ReinforcementCode0
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others0
Why should we ever automate moral decision making?0
Interpretable Differential Diagnosis with Dual-Inference Large Language Models0
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning0
When to Accept Automated Predictions and When to Defer to Human Judgment?0
CM-DQN: A Value-Based Deep Reinforcement Learning Model to Simulate Confirmation BiasCode0
Evaluating Human-AI Collaboration: A Review and Methodological Framework0
Solving General Natural-Language-Description Optimization Problems with Large Language Models0
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision MakingCode2
Integrating Clinical Knowledge into Concept Bottleneck ModelsCode1
Economic span selection of bridge based on deep reinforcement learningCode0
Learning to Complement and to Defer to Multiple UsersCode0
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge0
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction0
Optimal Decision Making Through Scenario Simulations Using Large Language Models0
MDP Geometry, Normalization and Reward Balancing Solvers0
Can Learned Optimization Make Reinforcement Learning Less Difficult?Code1
neuralGAM: Explainable generalized additive neural networks with independent neural network trainingCode0
A Mamba-based Siamese Network for Remote Sensing Change DetectionCode1
Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation ExperimentsCode0
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation0
MapsTP: HD Map Images Based Multimodal Trajectory Prediction for Automated Vehicles0
Enhancing Language Model Rationality with Bi-Directional Deliberation Reasoning0
Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation0
Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile RobotsCode0
Towards Reliable Neural Optimizers: A Permutation Equivariant Neural Approximation for Information Processing Applications0
CLIMB: A Benchmark of Clinical Bias in Large Language ModelsCode0
Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMs0
PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT InferenceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified