SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6851–6875 of 12311 papers

TitleStatusHype
Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval Augmented Generation (RAG)—0
Person Re-identification with Metric Learning using Privileged Information—0
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning—0
Pessimistic Model Selection for Offline Deep Reinforcement Learning—0
Pessimistic Off-Policy Multi-Objective Optimization—0
PG-Rainbow: Using Distributional Reinforcement Learning in Policy Gradient Methods—0
Phased Flight Trajectory Prediction with Deep Learning—0
PhenoFlow: A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets—0
PhilaeX: Explaining the Failure and Success of AI Models in Malware Detection—0
Grid-SiPhyR: An end-to-end learning to optimize framework for combinatorial problems in power systems—0
Nonequilibrium and nonlinear kinetics as key determinants for bistability in fission yeast G2-M transition—0
Physical and Economic Viability of Cryptocurrency Mining for Provision of Frequency Regulation: A Real-World Texas Case Study—0
Physical Deep Reinforcement Learning Towards Safety Guarantee—0
Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-based Filters—0
COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty—0
Physics-Enhanced Machine Learning: a position paper for dynamical systems investigations—0
Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems—0
Digital Twin-Centered Hybrid Data-Driven Multi-Stage Deep Learning Framework for Enhanced Nuclear Reactor Power Prediction—0
Physics-Infused Fuzzy Generative Adversarial Network for Robust Failure Prognosis—0
Physics-Inspired Interpretability Of Machine Learning Models—0
PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making—0
Closed Drafting as a Case Study for First-Principle Interpretability, Memory, and Generalizability in Deep Reinforcement Learning—0
Pick the Right Edge Device: Towards Power and Performance Estimation of CUDA-based CNNs on GPGPUs—0
Picture Fuzzy Interactional Aggregation Operators via Strict Triangular Norms and Applications to Multi-Criteria Decision Making—0
Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified