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Sequential Decision Making

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TitleStatusHype
Graph Neural Networks for Multi-Robot Active Information Acquisition—0
GraphOpt: Learning Optimization Models of Graph Formation—0
Graph Q-Learning for Combinatorial Optimization—0
Group-Fair Online Allocation in Continuous Time—0
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning—0
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models—0
Hands-on Learning to Search for Structured Prediction—0
HD-CB: The First Exploration of Hyperdimensional Computing for Contextual Bandits Problems—0
Heuristic-Guided Reinforcement Learning—0
Hierarchical Attention Fusion of Visual and Textual Representations for Cross-Domain Sequential Recommendation—0
Hierarchical Constrained Stochastic Shortest Path Planning via Cost Budget Allocation—0
Hierarchical Imitation and Reinforcement Learning—0
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation—0
Hierarchical State Abstractions for Decision-Making Problems with Computational Constraints—0
Hierarchical Upper Confidence Bounds for Constrained Online Learning—0
HierLLM: Hierarchical Large Language Model for Question Recommendation—0
High-Accuracy Model-Based Reinforcement Learning, a Survey—0
High-Confidence Off-Policy (or Counterfactual) Variance Estimation—0
High-Dimensional Prediction for Sequential Decision Making—0
High dimensional stochastic linear contextual bandit with missing covariates—0
Hindsight is Only 50/50: Unsuitability of MDP based Approximate POMDP Solvers for Multi-resolution Information Gathering—0
History Filtering in Imperfect Information Games: Algorithms and Complexity—0
Encrypted Linear Contextual Bandit—0
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics—0
How to Choose a Reinforcement-Learning Algorithm—0
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