Decision Making

Representation with Incomplete Votes AAAI 2023 Reshaping State-Space Search: From Dominance to Contrastive Analysis AAAI 2023 Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback NeurIPS 2023 The Role of Heuristics and Biases during Complex Choices with an AI Teammate AAAI 2023 User-Oriented Robust Reinforcement Learning AAAI 2023 Weakly Coupled Deep Q-Networks NeurIPS 2023 When to Make and Break Commitments? ICLR 2023 Zero-Shot Assistance in Sequential Decision Problems AAAI 2023 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach AAAI 2022 A Complete Criterion for Value of Information in Soluble Influence Diagrams AAAI 2022 An Axiomatic Approach to Revising Preferences AAAI 2022 An Experimental Design Perspective on Model-Based Reinforcement Learning ICLR 2022 A Synthetic Prediction Market for Estimating Confidence in Published Work AAAI 2022 Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property ICLR 2022 Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations ICLR 2022 Causal Contextual Bandits with Targeted Interventions ICLR 2022 Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning AAAI 2022 Criticality-Based Advice in Reinforcement Learning (Student Abstract) AAAI 2022 Deceptive Decision-Making under Uncertainty AAAI 2022 Deep Reinforcement Learning for High-Frequency Market Making ACML 2022 Defining and Characterizing Reward Gaming NeurIPS 2022 Evaluating the perceived safety of urban city via maximum entropy deep inverse reinforcement learning ACML 2022 Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits NeurIPS 2022 GeneDisco: A Benchmark for Experimental Design in Drug Discovery ICLR 2022 Hedging as Reward Augmentation in Probabilistic Graphical Models NeurIPS 2022