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Decision Making

Papers

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Showing 6501–6550 of 12311 papers

TitleStatusHype
Online Planning Algorithms for POMDPs—0
On-line Planning and Scheduling: An Application to Controlling Modular Printers—0
Online Planning for Decentralized Stochastic Control with Partial History Sharing—0
Online Policy Learning and Inference by Matrix Completion—0
Online POMDP Planning with Anytime Deterministic Optimality Guarantees—0
Online Residential Demand Response via Contextual Multi-Armed Bandits—0
Online Resource Allocation in Episodic Markov Decision Processes—0
Online Resource Allocation with Convex-set Machine-Learned Advice—0
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints—0
Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification—0
Online Sequential Decision-Making with Unknown Delays—0
Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent—0
Online Statistical Inference in Decision-Making with Matrix Context—0
Online Tensor Inference—0
Beyond Calibration: Assessing the Probabilistic Fit of Neural Regressors via Conditional Congruence—0
Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles—0
On Optimal Decision-Making in Ant Colonies—0
On Optimal Robustness to Adversarial Corruption in Online Decision Problems—0
Towards Tractable Optimism in Model-Based Reinforcement Learning—0
On-orbit Servicing for Spacecraft Collision Avoidance With Autonomous Decision Making—0
On Predicting Personal Values of Social Media Users using Community-Specific Language Features and Personal Value Correlation—0
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model—0
On preserving non-discrimination when combining expert advice—0
On Quantified Observability Analysis in Multiagent Systems—0
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning—0
On Reinforcement Learning, Effect Handlers, and the State Monad—0
On robust risk-based active-learning algorithms for enhanced decision support—0
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond—0
End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning—0
On the benefits of pixel-based hierarchical policies for task generalization—0
On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models—0
Decisions and Performance Under Bounded Rationality: A Computational Benchmarking Approach—0
On the Complexity of Adversarial Decision Making—0
On the complexity of Dark Chinese Chess—0
On the complexity of linear systems: an approach via rate distortion theory and emulating systems—0
On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring—0
On the Complexity of Reconnaissance Blind Chess—0
On the Decision-Making Abilities in Role-Playing using Large Language Models—0
On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions—0
Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information—0
On the Effect of Information Asymmetry in Human-AI Teams—0
Decentralized Governance of Autonomous AI Agents—0
On the Expressivity of Multidimensional Markov Reward—0
On the Fairness of Machine-Assisted Human Decisions—0
On the Federated Learning Framework for Cooperative Perception—0
On-the-Fly Joint Feature Selection and Classification—0
On the Forward Invariance of Neural ODEs—0
On the Foundations of the Brussels Operational-Realistic Approach to Cognition—0
On the Fusion Strategies for Federated Decision Making—0
On the Gap between Epidemiological Surveillance and Preparedness—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified