SOTAVerified

Decision Making

Papers

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Showing 7451–7500 of 12311 papers

TitleStatusHype
Reinforcement Learning with Differential Privacy—0
Reinforcement Learning with Efficient Active Feature Acquisition—0
Reinforcement Learning with Heterogeneous Data: Estimation and Inference—0
Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism—0
Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer—0
Reinforcement Learning with Non-Exponential Discounting—0
Reinforcement Learning with Options and State Representation—0
Reinforcement Learning with Stepwise Fairness Constraints—0
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections—0
Reinforcement with Fading Memories—0
Reinforcing Pre-trained Models Using Counterfactual Images—0
Reinforcing Thinking through Reasoning-Enhanced Reward Models—0
Relating Input Concepts to Convolutional Neural Network Decisions—0
Relational Artificial Intelligence—0
Relational Communication—0
Relational-Grid-World: A Novel Relational Reasoning Environment and An Agent Model for Relational Information Extraction—0
Relations on FP-Soft Sets Applied to Decision Making Problems—0
Relative Net Utility and the Saint Petersburg Paradox—0
Relative rationality: Is machine rationality subjective?—0
A Framework of decision-relevant observability: Reinforcement Learning converges under relative ignorability—0
RELEAF: An Algorithm for Learning and Exploiting Relevance—0
Relevance-driven Decision Making for Safer and More Efficient Human Robot Collaboration—0
Reliability Assessment of Information Sources Based on Random Permutation Set—0
Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower—0
Reliable Attribute-Based Object Recognition Using High Predictive Value Classifiers—0
Reliable counting of weakly labeled concepts by a single spiking neuron model—0
Reliable Decision Support using Counterfactual Models—0
Reliable Deep Grade Prediction with Uncertainty Estimation—0
Reliable Fleet Analytics for Edge IoT Solutions—0
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization—0
Reliable Off-policy Evaluation for Reinforcement Learning—0
Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout—0
Reliable Semantic Understanding for Real World Zero-shot Object Goal Navigation—0
RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning—0
Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net—0
Remember, but also, Forget: Bridging Myopic and Perfect Recall Fairness with Past-Discounting—0
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning—0
REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models—0
Real-time Sampling and Estimation on Random Access Channels: Age of Information and Beyond—0
Rényi Fair Inference—0
ROI Maximization in Stochastic Online Decision-Making—0
Replicability is Asymptotically Free in Multi-armed Bandits—0
Replicating Complex Dialogue Policy of Humans via Offline Imitation Learning with Supervised Regularization—0
Reporting on Decision-Making Algorithms and some Related Ethical Questions—0
Representational Ethical Model Calibration—0
Representation, Justification and Explanation in a Value Driven Agent: An Argumentation-Based Approach—0
Representation Learning for Aspect Category Detection in Online Reviews—0
Representation Learning for Context-Dependent Decision-Making—0
Representation Matters: Offline Pretraining for Sequential Decision Making—0
Representative Social Choice: From Learning Theory to AI Alignment—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified