SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9676–9700 of 12311 papers

TitleStatusHype
Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data—0
Large-scale optimization with the primal-dual column generation method—0
Large Scale Record Linkage in the Presence of Missing Data—0
Large-Scale Retrieval for Reinforcement Learning—0
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification—0
Large-Scale Sequential Learning for Recommender and Engineering Systems—0
Large-Scale Strategic Games and Adversarial Machine Learning—0
Large Sequence Models for Sequential Decision-Making: A Survey—0
LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence—0
LARP: Language-Agent Role Play for Open-World Games—0
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning—0
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning—0
Latent Dirichlet Allocation (LDA) for Topic Modeling of the CFPB Consumer Complaints—0
Latent Embedding Adaptation for Human Preference Alignment in Diffusion Planners—0
Latent Event-Predictive Encodings through Counterfactual Regularization—0
Latent forward model for Real-time Strategy game planning with incomplete information—0
Latent gaze information in highly dynamic decision-tasks—0
GlaLSTM: A Concurrent LSTM Stream Framework for Glaucoma Detection via Biomarker Mining—0
Latent Variable Algorithms for Multimodal Learning and Sensor Fusion—0
Lateralization in Agents' Decision Making: Evidence of Benefits/Costs from Artificial Intelligence—0
LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization—0
Law to Binary Tree -- An Formal Interpretation of Legal Natural Language—0
Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization—0
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms—0
Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified