Decision Making

Symbiotic Local Search for Small Decision Tree Policies in MDPs UAI 2025 TAB-Fields: A Maximum Entropy Framework for Mission-Aware Adversarial Planning L4DC 2025 The Hidden Cost of Waiting for Accurate Predictions ICLR 2025 The Power of Framing: How News Headlines Guide Search Behavior EMNLP 2025 The Value of Sensory Information to a Robot ICLR 2025 To Give or Not to Give? The Impacts of Strategically Withheld Recourse AISTATS 2025 Towards Practical Classical Planning Compilations of Numeric Planning AAAI 2025 Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification AAAI 2025 Truthful Elicitation of Imprecise Forecasts UAI 2025 Who knows best? Effects of speech disfluencies on incentivized decision-making Interspeech 2025 Adaptive Instrument Design for Indirect Experiments ICLR 2024 AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making NeurIPS 2024 Analytically Tractable Models for Decision Making under Present Bias AAAI 2024 An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NeurIPS 2024 Approximation Algorithms for Observer Aware MDPs UAI 2024 A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees AAAI 2024 A Virtual Driving Instructor That Generates Personalized Driving Lessons Based on Student Skill Level AAAI 2024 Bandits with Replenishable Knapsacks: the Best of both Worlds ICLR 2024 Belief-State Query Policies for User-Aligned POMDPs NeurIPS 2024 CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents ICLR 2024 CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making NeurIPS 2024 Cold-start Recommendation by Personalized Embedding Region Elicitation UAI 2024 Combinatorial Causal Bandits without Graph Skeleton ACML 2024 Context Consistency between Training and Inference in Simultaneous Machine Translation ACL 2024 Contextual Decision-Making with Knapsacks Beyond the Worst Case NeurIPS 2024