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Decision Making

Papers

Showing 68016850 of 12311 papers

TitleStatusHype
Discriminator-Guided Model-Based Offline Imitation Learning0
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning0
Forecasting Future World Events with Neural NetworksCode1
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms0
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning0
Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles0
Watch and Match: Supercharging Imitation with Regularized Optimal Transport0
Variational Inference for Additive Main and Multiplicative Interaction Effects Models0
TE2Rules: Explaining Tree Ensembles using RulesCode1
Computer-aided diagnosis and prediction in brain disorders0
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting0
Generalized Policy Improvement Algorithms with Theoretically Supported Sample ReuseCode1
Utility Theory for Sequential Decision Making0
On the Complexity of Adversarial Decision Making0
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer0
Parametrically Retargetable Decision-Makers Tend To Seek Power0
Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning0
APPFLChain: A Privacy Protection Distributed Artificial-Intelligence Architecture Based on Federated Learning and Consortium Blockchain0
Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches0
AGENT: An Adaptive Grouping Entrapping Method of Flocking Systems0
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation0
The Amenability Framework: Rethinking Causal Ordering Without Estimating Causal Effects0
Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure UncertaintyCode0
Mitigating sampling bias in risk-based active learning via an EM algorithm0
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning0
SKTR: Trace Recovery from Stochastically Known Logs0
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents0
On Structural Explanation of Bias in Graph Neural NetworksCode0
Achievement and Fragility of Long-term Equitability0
Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms0
Toward multi-target self-organizing pursuit in a partially observable Markov gameCode1
DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change DetectionCode2
On Avoiding Power-Seeking by Artificial Intelligence0
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers0
Context matters for fairness -- a case study on the effect of spatial distribution shifts0
Active Learning with Safety Constraints0
Auto-Encoding Adversarial Imitation Learning0
Using cognitive psychology to understand GPT-30
Learning Neuro-Symbolic Skills for Bilevel Planning0
Coherent noise enables probabilistic sequence replay in spiking neuronal networks0
Policy Learning with Asymmetric Counterfactual Utilities0
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability0
The Winner-Take-All Dilemma0
Exceedance Probability Forecasting via Regression for Significant Wave Height Prediction0
A Safe Control Architecture Based on Robust Model Predictive Control for Autonomous Driving0
Beyond IID: data-driven decision-making in heterogeneous environments0
Evolutionary rationality of risk preference0
Guided Safe Shooting: model based reinforcement learning with safety constraints0
Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes0
Fairness-aware Model-agnostic Positive and Unlabeled Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified