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Sequential Decision Making

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TitleStatusHype
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
Deciding What to Model: Value-Equivalent Sampling for 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
Contextual Online Decision Making with Infinite-Dimensional Functional Regression—0
Continual Vision-and-Language Navigation—0
Hindsight is Only 50/50: Unsuitability of MDP based Approximate POMDP Solvers for Multi-resolution Information Gathering—0
Continuous Episodic Control—0
History Filtering in Imperfect Information Games: Algorithms and Complexity—0
Encrypted Linear Contextual Bandit—0
Deciding What to Learn: A Rate-Distortion Approach—0
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics—0
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs—0
How to Choose a Reinforcement-Learning Algorithm—0
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems—0
HSVI can solve zero-sum Partially Observable Stochastic Games—0
INTAGS: Interactive Agent-Guided Simulation—0
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