SOTAVerified

Decision Making

Papers

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Showing 5851–5900 of 12311 papers

TitleStatusHype
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
Learning Expensive Coordination: An Event-Based Deep RL Approach—0
Towards Reducing Biases in Combining Multiple Experts Online—0
Learning Fair Classifiers via Min-Max F-divergence Regularization—0
Learning Fair Policies for Infectious Diseases Mitigation using Path Integral Control—0
Learning Flexible Visual Representations via Interactive Gameplay—0
Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions—0
Learning for Semantic Knowledge Base-Guided Online Feature Transmission in Dynamic Channels—0
Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher—0
Learning from demonstrations with SACR2: Soft Actor-Critic with Reward Relabeling—0
Learning from Evolution: Improving Collective Decision-Making Mechanisms using Insights from Evolutionary Robotics—0
Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks—0
Learning from Learning Machines: Optimisation, Rules, and Social Norms—0
Learning from lions: inferring the utility of agents from their trajectories—0
Learning from Multi-User Activity Trails for B2B Ad Targeting—0
Learning From Small Samples: An Analysis of Simple Decision Heuristics—0
Causal Strategic Linear Regression—0
Learning From Strategic Agents: Accuracy, Improvement, and Causality—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified