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Decision Making

Papers

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Showing 11851–11900 of 12311 papers

TitleStatusHype
Safe Reinforcement Learning using Data-Driven Predictive Control—0
Safe Sequential Optimization for Switching Environments—0
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel—0
Safety and Robustness in Decision Making: Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer—0
Safety Assessment for Autonomous Systems' Perception Capabilities—0
Safety-Aware Algorithms for Adversarial Contextual Bandit—0
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—0
Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety—0
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches—0
Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization—0
Safety, Trust, and Ethics Considerations for Human-AI Teaming in Aerospace Control—0
Black-Box Safety Validation of Autonomous Systems: A Multi-Fidelity Reinforcement Learning Approach—0
Sage Deer: A Super-Aligned Driving Generalist Is Your Copilot—0
SAIF: Sparse Adversarial and Imperceptible Attack Framework—0
SAL-CNN: Estimate the Remaining Useful Life of Bearings Using Time-frequency Information—0
Sales Channel Optimization via Simulations Based on Observational Data with Delayed Rewards: A Case Study at LinkedIn—0
Sales Time Series Analytics Using Deep Q-Learning—0
Sample Complexity Bounds for Iterative Stochastic Policy Optimization—0
Sample Complexity of Variance-reduced Distributionally Robust Q-learning—0
Sample-Derived Disjunctive Rules for Secure Power System Operation—0
Sample-efficient Adversarial Imitation Learning—0
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions—0
Sample-Specific Output Constraints for Neural Networks—0
Sampling Through the Lens of Sequential Decision Making—0
SAPG: Split and Aggregate Policy Gradients—0
SAPO-RL: Sequential Actuator Placement Optimization for Fuselage Assembly via Reinforcement Learning—0
Satellite imagery analysis for operational damage assessment in Emergency situations—0
Satisficing Exploration in Bandit Optimization—0
Satisficing in multi-armed bandit problems—0
SAUP: Situation Awareness Uncertainty Propagation on LLM Agent—0
Says Who ? Identification of Expert versus Layman Critics' Reviews of Documentary Films—0
Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling—0
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing—0
Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning—0
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning—0
Scalable Approximate Inference and Some Applications—0
Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls—0
Scalable Concept Extraction in Industry 4.0—0
Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees—0
Scalable First-Order Methods for Robust MDPs—0
Scalable Interactive Machine Learning for Future Command and Control—0
Scalable photonic reinforcement learning by time-division multiplexing of laser chaos—0
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities—0
Scalable privacy-preserving cancer type prediction with homomorphic encryption—0
Scalable Thompson Sampling via Optimal Transport—0
Scales and Hedges in a Logic with Analogous Semantics—0
Scaling Artificial Intelligence for Digital Wargaming in Support of Decision-Making—0
Scaling Autonomous Agents via Automatic Reward Modeling And Planning—0
Scaling Guarantees for Nearest Counterfactual Explanations—0
Rule-based epidemic models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified