SOTAVerified

Decision Making

Papers

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Showing 6401–6450 of 12311 papers

TitleStatusHype
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information—0
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation—0
Offline Reinforcement Learning Hands-On—0
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient—0
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming—0
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments—0
Off-policy Evaluation for Payments at Adyen—0
Off-Policy Evaluation for Sequential Persuasion Process with Unobserved Confounding—0
Off-Policy Evaluation with Policy-Dependent Optimization Response—0
Off-Policy Interval Estimation with Lipschitz Value Iteration—0
Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents—0
Of Quantiles and Expectiles: Consistent Scoring Functions, Choquet Representations, and Forecast Rankings—0
OMBA: User-Guided Product Representations for Online Market Basket Analysis—0
OMENN: One Matrix to Explain Neural Networks—0
OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making—0
Omnidirectional Information Gathering for Knowledge Transfer-based Audio-Visual Navigation—0
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning—0
On adaptivity and minimax optimality of two-sided nearest neighbors—0
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems—0
On a gap between rational annuitization price for producer and price for customer—0
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities—0
On a notion of independence proposed by Teddy Seidenfeld—0
On anthropomorphic decision making in a model observer—0
On Applications of Bootstrap in Continuous Space Reinforcement Learning—0
On Appropriate Selection of Fuzzy Aggregation Operators in Medical Decision Support System—0
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition—0
On Avoiding Power-Seeking by Artificial Intelligence—0
On Bellman's Optimality Principle for zs-POSGs—0
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making—0
Onboard Optimization and Learning: A Survey—0
On Calibration in Multi-Distribution Learning—0
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations—0
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems—0
Onchain Sports Betting using UBET Automated Market Maker—0
On Combining Machine Learning with Decision Making—0
On Composable and Parametric Uncertainty in Systems Co-Design—0
On Computation and Generalization of Generative Adversarial Imitation Learning—0
On Consequentialism and Fairness—0
OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting—0
On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks—0
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL—0
On Distributed Cooperative Decision-Making in Multiarmed Bandits—0
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy—0
On Efficiency in Hierarchical Reinforcement Learning—0
On Efficient Online Imitation Learning via Classification—0
One for All: A General Framework of LLMs-based Multi-Criteria Decision Making on Human Expert Level—0
Super-Nash performance in games—0
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication—0
One-shot learning and behavioral eligibility traces in sequential decision making—0
One Size Fits None: Rethinking Fairness in Medical AI—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified