SOTAVerified

Decision Making

Papers

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Showing 9701–9750 of 12311 papers

TitleStatusHype
Lean From Thy Neighbor: Stochastic & Adversarial Bandits in a Network—0
Learnability and Robustness of Shallow Neural Networks Learned With a Performance-Driven BP and a Variant PSO For Edge Decision-Making—0
Learnable Strategies for Bilateral Agent Negotiation over Multiple Issues—0
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution—0
Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond—0
Learned human-agent decision-making, communication and joint action in a virtual reality environment—0
TExplain: Explaining Learned Visual Features via Pre-trained (Frozen) Language Models—0
Learning Abstract World Model for Value-preserving Planning with Options—0
Learning Actionable Representations with Goal Conditioned Policies—0
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks—0
Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex Conditions—0
Learning adaptive planning representations with natural language guidance—0
Learning Algorithms for Intelligent Agents and Mechanisms—0
Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions—0
Learning and Information in Stochastic Networks and Queues—0
Learning and Optimization with Bayesian Hybrid Models—0
Learning and Querying Fast Generative Models for Reinforcement Learning—0
Learning as Reinforcement: Applying Principles of Neuroscience for More General Reinforcement Learning Agents—0
Learning Attentional Communication for Multi-Agent Cooperation—0
Learning at the Ends: From Hand to Tool Affordances in Humanoid Robots—0
Learning-Augmented Algorithms for the Bahncard Problem—0
Automaton-Based Representations of Task Knowledge from Generative Language Models—0
Learning based 2D Irregular Shape Packing—0
Learning-based decentralized offloading decision making in an adversarial environment—0
Learning-Based UAV Path Planning for Data Collection with Integrated Collision Avoidance—0
Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints—0
Learning Behavioral Soft Constraints from Demonstrations—0
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy—0
Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy—0
Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect—0
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression—0
Learning Causal Bayesian Networks from Text—0
Learning Complex Spatial Behaviours in ABM: An Experimental Observational Study—0
Learning Complex Users' Preferences for Recommender Systems—0
Learning Computational Efficient Bots with Costly Features—0
Learning Controllable Elements Oriented Representations for Reinforcement Learning—0
Learning Cooperation and Online Planning Through Simulation and Graph Convolutional Network—0
Learning Curricula in Open-Ended Worlds—0
Learning Curves for Decision Making in Supervised Machine Learning: A Survey—0
Learning Differential Operators for Interpretable Time Series Modeling—0
Learning Disentangled Representations for Recommendation—0
Learning Domain-Independent Dialogue Policies via Ontology Parameterisation—0
Learning-driven Zero Trust in Distributed Computing Continuum Systems—0
Learning Dynamic State Abstractions for Model-Based Reinforcement Learning—0
Learning Efficient Information Extraction on Heterogeneous Texts—0
Learning Efficient Representations for Reinforcement Learning—0
Learning-enabled Flexible Job-shop Scheduling for Scalable Smart Manufacturing—0
Learning Ensembles of Interpretable Simple Structure—0
Learning Environment Models with Continuous Stochastic Dynamics—0
Learning Epidemiological Dynamics via the Finite Expression Method—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified