| Hierarchical State Abstractions for Decision-Making Problems with Computational Constraints | Oct 22, 2017 | Decision MakingSequential Decision Making | —Unverified | 0 |
| Hierarchical Upper Confidence Bounds for Constrained Online Learning | Oct 22, 2024 | Decision MakingDecision Making Under Uncertainty | —Unverified | 0 |
| HierLLM: Hierarchical Large Language Model for Question Recommendation | Sep 10, 2024 | Language ModelingLanguage Modelling | —Unverified | 0 |
| High-Accuracy Model-Based Reinforcement Learning, a Survey | Jul 17, 2021 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 |
| High-Confidence Off-Policy (or Counterfactual) Variance Estimation | Jan 25, 2021 | counterfactualDecision Making | —Unverified | 0 |
| High-Dimensional Prediction for Sequential Decision Making | Oct 26, 2023 | Combinatorial OptimizationConformal Prediction | —Unverified | 0 |
| Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning | Jun 4, 2022 | Decision MakingModel-based Reinforcement Learning | —Unverified | 0 |
| Contextual Online Decision Making with Infinite-Dimensional Functional Regression | Jan 30, 2025 | Decision MakingMulti-Armed Bandits | —Unverified | 0 |
| Continual Vision-and-Language Navigation | Mar 22, 2024 | Continual LearningNavigate | —Unverified | 0 |
| Deciding What to Learn: A Rate-Distortion Approach | Jan 15, 2021 | Decision MakingSequential Decision Making | —Unverified | 0 |
