Decision Making

Modeling Risky Choices in Unknown Environments ACML 2021 Online Control of Unknown Time-Varying Dynamical Systems NeurIPS 2021 Personalizing Individual Comfort in the Group Setting AAAI 2021 Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression AAAI 2021 Predicting Flashover Occurrence using Surrogate Temperature Data AAAI 2021 Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes NeurIPS 2021 Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits AAAI 2021 Scalable First-Order Methods for Robust MDPs AAAI 2021 Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning NeurIPS 2021 Uncertain Decisions Facilitate Better Preference Learning NeurIPS 2021 Who Leads and Who Follows in Strategic Classification? NeurIPS 2021 Adaptive Submodular Maximization under Stochastic Item Costs COLT 2020 A Software System for Predicting Patient Flow at the Emergency Department of Aalborg University Hospital PGM 2020 BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract) AAAI 2020 Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe NeurIPS 2020 Constrained Reinforcement Learning via Policy Splitting ACML 2020 Decisions, Counterfactual Explanations and Strategic Behavior NeurIPS 2020 Expectation-Aware Planning: A Unifying Framework for Synthesizing and Executing Self-Explaining Plans for Human-Aware Planning AAAI 2020 Fast Rates for Online Prediction with Abstention COLT 2020 Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning CVPR 2020 Hybrid Models for Learning to Branch NeurIPS 2020 Interior Point Solving for LP-based prediction+optimisation NeurIPS 2020 Learning Robust Decision Policies from Observational Data NeurIPS 2020 Parameterized Algorithms for Finding a Collective Set of Items AAAI 2020 Partially Observable Markov Decision Process Modelling for Assessing Hierarchies ACML 2020