SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7301–7325 of 12311 papers

TitleStatusHype
Topological Data Analysis Ball Mapper for Finance—0
Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning Approach—0
Interpretability of artificial neural network models in artificial Intelligence vs. neuroscience—0
CPES-QSM: A Quantitative Method Towards the Secure Operation of Cyber-Physical Energy Systems—0
Asymptotic Instance-Optimal Algorithms for Interactive Decision Making—0
Forecasting COVID- 19 cases using Statistical Models and Ontology-based Semantic Modelling: A real time data analytics approach—0
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL—0
Efficient entity-based reinforcement learning—0
Predicting and Understanding Human Action Decisions during Skillful Joint-Action via Machine Learning and Explainable-AICode0
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs—0
A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT—0
Robust Adversarial Attacks Detection based on Explainable Deep Reinforcement Learning For UAV Guidance and Planning—0
Sequential Counterfactual Decision-Making Under Confounded Reward—0
Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under SufficiencyCode0
Information Threshold, Bayesian Inference and Decision-Making—0
Models of human preference for learning reward functions—0
Interpretable Mixture of Experts—0
Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration—0
Between Rate-Distortion Theory & Value Equivalence in Model-Based Reinforcement Learning—0
Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning—0
QAGCN: Answering Multi-Relation Questions via Single-Step Implicit Reasoning over Knowledge GraphsCode0
A Deep Reinforcement Learning Framework For Column GenerationCode0
Fair Classification via Transformer Neural Networks: Case Study of an Educational Domain—0
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games—0
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified