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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
Answer Set Programming for Non-Stationary Markov Decision Processes—0
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation—0
A Deep Reinforcement Learning Approach to Rare Event Estimation—0
Hierarchical Upper Confidence Bounds for Constrained Online Learning—0
Exploration via Epistemic Value Estimation—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
Exploration Unbound—0
Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization—0
Hindsight is Only 50/50: Unsuitability of MDP based Approximate POMDP Solvers for Multi-resolution Information Gathering—0
Exploration-Exploitation in Constrained MDPs—0
History Filtering in Imperfect Information Games: Algorithms and Complexity—0
Exploiting Relevance for Online Decision-Making in High-Dimensions—0
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations—0
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics—0
A Note on Sample Complexity of Interactive Imitation Learning with Log Loss—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
Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach—0
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