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Decision Making

Papers

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Showing 7001–7050 of 12311 papers

TitleStatusHype
Online Learning: A Comprehensive Survey—0
Online Learning and Decision-Making under Generalized Linear Model with High-Dimensional Data—0
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks—0
Online learning in bandits with predicted context—0
Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization—0
Online Learning with Off-Policy Feedback—0
Online Learning with Uncertain Feedback Graphs—0
Online L^-Convex Minimization—0
Online MDP with Transition Prototypes: A Robust Adaptive Approach—0
Online Optimization for Network Resource Allocation and Comparison with Reinforcement Learning Techniques—0
Online Pandora's Boxes and Bandits—0
Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified