SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5201–5250 of 12311 papers

TitleStatusHype
Dissecting the Impact of Model Misspecification in Data-Driven Optimization—0
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning—0
Distilling Analysis from Generative Models for Investment Decisions—0
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain—0
Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records—0
Distinguishing Risk Preferences using Repeated Gambles—0
Distinguishing Transformative from Incremental Clinical Evidence: A Classifier of Clinical Research using Textual features from Abstracts and Citing Sentences—0
Distributed Anomaly Detection in Modern Power Systems: A Penalty-based Mitigation Approach—0
Distributed Bandits with Heterogeneous Agents—0
Distributed Chernoff Test: Optimal decision systems over networks—0
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization—0
Distributed Consensus Algorithm for Decision-Making in Multi-agent Multi-armed Bandit—0
Distributed Cooperative Control and Optimization of Connected Automated Vehicles Platoon Against Cut-in Behaviors of Social Drivers—0
Distributed Cooperative Decision-Making in Multiarmed Bandits: Frequentist and Bayesian Algorithms—0
Distributed Cooperative Decision Making in Multi-agent Multi-armed Bandits—0
Distributed Deep Convolutional Neural Networks for the Internet-of-Things—0
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox—0
Distributed economic predictive control of integrated energy systems for enhanced synergy and grid response: A decomposition and cooperation strategy—0
Distributed Finite-Sum Constrained Optimization subject to Nonlinearity on the Node Dynamics—0
Distributed Intelligence in Wireless Networks—0
Distributed Intelligent Sensing and Communications for 6G: Architecture and Use Cases—0
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges—0
Distributed Learning: Sequential Decision Making in Resource-Constrained Environments—0
Distributed Linear Quadratic Gaussian for Multi-Robot Coordination with Localization Uncertainty—0
Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence—0
Distributed Management of Fluctuating Energy Resources in Dynamic Networked Systems—0
Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise—0
Distributed multi-agent target search and tracking with Gaussian process and reinforcement learning—0
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC—0
Distributed Multi-Target Tracking in Camera Networks—0
Distributed Online Learning in Social Recommender Systems—0
Distributed Optimization in Distribution Systems with Grid-Forming and Grid-Supporting Inverters—0
Distributed Optimization via Kernelized Multi-armed Bandits—0
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies—0
Distributed Record Linkage in Healthcare Data with Apache Spark—0
Distributed Representations for Building Profiles of Users and Items from Text Reviews—0
Distributed Resource Scheduling for Large-Scale MEC Systems: A Multi-Agent Ensemble Deep Reinforcement Learning with Imitation Acceleration—0
Distributed Stackelberg Equilibrium Seeking for Networked Multi-Leader Multi-Follower Games with A Clustered Information Structure—0
Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management—0
Distributed Task Management in Fog Computing: A Socially Concave Bandit Game—0
Distributing Synergy Functions: Unifying Game-Theoretic Interaction Methods for Machine-Learning Explainability—0
Distributionally Robust Counterfactual Risk Minimization—0
Distributionally Robust Learning—0
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity—0
Distributionally Robust Optimisation with Bayesian Ambiguity Sets—0
Distributional Reinforcement Learning for Scheduling of Chemical Production Processes—0
Distributional Robustness and Regularization in Reinforcement Learning—0
Distribution-consistency Structural Causal Models—0
Distribution-Free Federated Learning with Conformal Predictions—0
Decision making under uncertainty for deploying battery storage as a non-wire alternative in distribution networks—0
Show:102550
← PrevPage 105 of 247Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified