Decision Making

On the Actionability of Outcome Prediction AAAI 2024 Optimal Design for Human Preference Elicitation NeurIPS 2024 Optimistic Bayesian Optimization with Unknown Constraints ICLR 2024 Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes AAAI 2024 Pandora’s Problem with Deadlines AAAI 2024 Policy Aggregation NeurIPS 2024 Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking EMNLP 2024 Provable Partially Observable Reinforcement Learning with Privileged Information NeurIPS 2024 Recursively-Constrained Partially Observable Markov Decision Processes UAI 2024 Restless bandits with rewards generated by a linear Gaussian dynamical system L4DC 2024 Retro-fallback: retrosynthetic planning in an uncertain world ICLR 2024 Robust Active Measuring under Model Uncertainty AAAI 2024 Safe Exploitative Play with Untrusted Type Beliefs NeurIPS 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention AISTATS 2024 Unit Selection with Nonbinary Treatment and Effect AAAI 2024 VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values EMNLP 2024 Welfare Maximization in Perpetual Voting (Student Abstract) AAAI 2024 When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding NeurIPS 2024 Will LLMs Sink or Swim? Exploring Decision-Making Under Pressure EMNLP 2024 Adaptive Ordered Information Extraction with Deep Reinforcement Learning ACL 2023 A Fair Incentive Scheme for Community Health Workers AAAI 2023 Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog EMNLP 2023 A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification ACML 2023 A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks AAAI 2023