SOTAVerified

Decision Making

Papers

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Showing 9851–9900 of 12311 papers

TitleStatusHype
Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games—0
Learning-to-Defer for Extractive Question Answering—0
Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning—0
Learning to Explain: Prototype-Based Surrogate Models for LLM Classification—0
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning—0
Learning-to-Fly: Learning-based Collision Avoidance for Scalable Urban Air Mobility—0
Learning to Generate Long-term Future Narrations Describing Activities of Daily Living—0
Learning To Guide Human Decision Makers With Vision-Language Models—0
Learning to Guide Human Experts via Personalized Large Language Models—0
Learning to Learn with Smooth Regularization—0
Learning to Look: Seeking Information for Decision Making via Policy Factorization—0
Learning to Make Adherence-Aware Advice—0
Learning from zero: how to make consumption-saving decisions in a stochastic environment with an AI algorithm—0
Learning to Make Decisions via Submodular Regularization—0
Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce—0
Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning—0
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps—0
Learning to Observe with Reinforcement Learning—0
Learning to Optimize with Stochastic Dominance Constraints—0
Learning Top-k Subtask Planning Tree based on Discriminative Representation Pre-training for Decision Making—0
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles—0
Learning to Play Like Humans: A Framework for LLM Adaptation in Interactive Fiction Games—0
Learning to Play Video Games with Intuitive Physics Priors—0
Learning to Price Supply Chain Contracts against a Learning Retailer—0
Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing—0
Learning to Recommend Signal Plans under Incidents with Real-Time Traffic Prediction—0
Learning to Recover from Failures using Memory—0
Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning—0
Learning to Represent Individual Differences for Choice Decision Making—0
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning—0
Learning to Schedule Online Tasks with Bandit Feedback—0
Learning to Shoot in First Person Shooter Games by Stabilizing Actions and Clustering Rewards for Reinforcement Learning—0
Learning to Simulate: Generative Metamodeling via Quantile Regression—0
Learning to Solve Optimization Problems with Hard Linear Constraints—0
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming—0
Learning to Track: Online Multi-Object Tracking by Decision Making—0
Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation—0
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning—0
Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System—0
Learning under selective labels in the presence of expert consistency—0
Learning under Selective Labels with Data from Heterogeneous Decision-makers: An Instrumental Variable Approach—0
Learning Universal Policies via Text-Guided Video Generation—0
Learning Utilities from Demonstrations in Markov Decision Processes—0
Learning Value of Information towards Joint Communication and Control in 6G V2X—0
A Framework for Learning to Request Rich and Contextually Useful Information from Humans—0
Learning When to Advise Human Decision Makers—0
Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control—0
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations—0
Learning with Delayed Payoffs in Population Games using Kullback-Leibler Divergence Regularization—0
Learning with Dynamics: Autonomous Regulation of UAV Based Communication Networks with Dynamic UAV Crew—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified