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Decision Making

Papers

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Showing 201–250 of 12311 papers

TitleStatusHype
OverlapMamba: Novel Shift State Space Model for LiDAR-based Place RecognitionCode2
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language ModelsCode2
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM AgentsCode2
ActiveSplat: High-Fidelity Scene Reconstruction through Active Gaussian SplattingCode2
CausalPFN: Amortized Causal Effect Estimation via In-Context LearningCode2
PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision MakersCode2
Diffusion Actor-Critic with Entropy RegulatorCode2
Disentangling Memory and Reasoning Ability in Large Language ModelsCode2
Position: Foundation Agents as the Paradigm Shift for Decision MakingCode2
Position: What Can Large Language Models Tell Us about Time Series AnalysisCode2
Pre-Trained Language Models for Interactive Decision-MakingCode2
Alphazero-like Tree-Search can Guide Large Language Model Decoding and TrainingCode2
A Comprehensive Guide to Explainable AI: From Classical Models to LLMsCode2
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the WildCode2
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future DirectionsCode2
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph MatchingCode2
DecisionNCE: Embodied Multimodal Representations via Implicit Preference LearningCode2
A Review of Safe Reinforcement Learning: Methods, Theory and ApplicationsCode2
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision MakingCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
GaussianAD: Gaussian-Centric End-to-End Autonomous DrivingCode2
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous DrivingCode2
Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation DataCode2
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value FunctionsCode1
Curating a COVID-19 data repository and forecasting county-level death counts in the United StatesCode1
Cryptocurrency Portfolio Management with Deep Reinforcement LearningCode1
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT ImagesCode1
CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market IndicatorsCode1
Curriculum-based Reinforcement Learning for Distribution System Critical Load RestorationCode1
Counterfactual Explanations in Sequential Decision Making Under UncertaintyCode1
ContrXT: Generating Contrastive Explanations from any Text ClassifierCode1
Controlling Neural Networks with Rule RepresentationsCode1
Continuation Path Learning for Homotopy OptimizationCode1
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement LearningCode1
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource AllocationCode1
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep LearningCode1
CUTS+: High-dimensional Causal Discovery from Irregular Time-seriesCode1
Conformal Inference of Counterfactuals and Individual Treatment EffectsCode1
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort studyCode1
An Introduction to Deep Reinforcement LearningCode1
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment EffectsCode1
Conditioning Sparse Variational Gaussian Processes for Online Decision-makingCode1
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of ExplainabilityCode1
CoSense3D: an Agent-based Efficient Learning Framework for Collective PerceptionCode1
Counterfactual Explainable RecommendationCode1
Abstracting Deep Neural Networks into Concept Graphs for Concept Level InterpretabilityCode1
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse LearningCode1
Conformal Alignment: Knowing When to Trust Foundation Models with GuaranteesCode1
Conformal Predictive Systems Under Covariate ShiftCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified