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Decision Making

Papers

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Showing 6901–6950 of 12311 papers

TitleStatusHype
Policy Gradient with Expected Quadratic Utility Maximization: A New Mean-Variance Approach in Reinforcement Learning—0
Mean-Variance Efficient Reinforcement Learning with Applications to Dynamic Financial Investment—0
Policy Gradient With Serial Markov Chain Reasoning—0
Policy Gradient With Value Function Approximation For Collective Multiagent Planning—0
Policy-labeled Preference Learning: Is Preference Enough for RLHF?—0
Policy Learning for Domain Selection in an Extensible Multi-domain Spoken Dialogue System—0
Policy Learning with a Natural Language Action Space: A Causal Approach—0
Policy Learning with Asymmetric Counterfactual Utilities—0
Policy Optimization Using Semi-parametric Models for Dynamic Pricing—0
Policy Optimization with Model-based Explorations—0
Policy Regularization for Legible Behavior—0
Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning—0
Polynomial Regret Concentration of UCB for Non-Deterministic State Transitions—0
POMDPs in Continuous Time and Discrete Spaces—0
POPPINS : A Population-Based Digital Spiking Neuromorphic Processor with Integer Quadratic Integrate-and-Fire Neurons—0
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning—0
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates—0
Portfolio optimization with two coherent risk measures—0
Portfolio Selection via Topological Data Analysis—0
Pose-based Tremor Classification for Parkinson's Disease Diagnosis from Video—0
Position: Bayesian Statistics Facilitates Stakeholder Participation in Evaluation of Generative AI—0
Position: Emergent Machina Sapiens Urge Rethinking Multi-Agent Paradigms—0
Position: Empowering Time Series Reasoning with Multimodal LLMs—0
Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability—0
Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs—0
Possibility neutrosophic soft sets with applications in decision making and similarity measure—0
Post-COVID Inflation & the Monetary Policy Dilemma: An Agent-Based Scenario Analysis—0
A Posteriori Probabilistic Bounds of Convex Scenario Programs with Validation Tests—0
Posterior Sampling via Autoregressive Generation—0
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion—0
Post-hoc Calibration of Neural Networks by g-Layers—0
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation—0
Post-hoc Interpretability Illumination for Scientific Interaction Discovery—0
Posthoc Interpretability of Learning to Rank Models using Secondary Training Data—0
Post-hoc loss-calibration for Bayesian neural networks—0
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application—0
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles—0
Potential Game-Based Decision-Making for Autonomous Driving—0
Power and accountability in reinforcement learning applications to environmental policy—0
Power and Accountability in RL-driven Environmental Policy—0
Powerful A/B-Testing Metrics and Where to Find Them—0
Power grid operational risk assessment using graph neural network surrogates—0
Power-law Scaling to Assist with Key Challenges in Artificial Intelligence—0
Power System Decarbonization: Impacts of Energy Storage Duration and Interannual Renewables Variability—0
Power System Fault Diagnosis with Quantum Computing and Efficient Gate Decomposition—0
Power to the teens? A model of parents' and teens' collective labor supply—0
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks—0
Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning—0
Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking—0
Practical Algorithms for STV and Ranked Pairs with Parallel Universes Tiebreaking—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified