SOTAVerified

Decision Making

Papers

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Showing 7376–7400 of 12311 papers

TitleStatusHype
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
Pignistic Probability Transforms for Mixes of Low- and High-Probability Events—0
PILOT: Legal Case Outcome Prediction with Case Law—0
PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving—0
Plan Explanations as Model Reconciliation -- An Empirical Study—0
Planning Automated Driving with Accident Experience Referencing and Common-sense Inferencing—0
Planning-Aware Diffusion Networks for Enhanced Motion Forecasting in Autonomous Driving—0
Planning based on classification by induction graph—0
Planning in Stochastic Environments with Goal Uncertainty—0
Expectation-Aware Planning: A Unifying Framework for Synthesizing and Executing Self-Explaining Plans for Human-Aware Planning—0
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning—0
Planning with General Objective Functions: Going Beyond Total Rewards—0
Playing against Nature: causal discovery for decision making under uncertainty—0
Playing against no-regret players—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified