Decision Making

Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning NeurIPS 2022 Value Function Decomposition for Iterative Design of Reinforcement Learning Agents NeurIPS 2022 WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents NeurIPS 2022 Adaptivity in Adaptive Submodularity COLT 2021 A mechanistic multi-area recurrent network model of decision-making NeurIPS 2021 Apparently Irrational Choice as Optimal Sequential Decision Making AAAI 2021 A sampling-based circuit for optimal decision making NeurIPS 2021 A Universal 2-state n-action Adaptive Management Solver AAAI 2021 Bandit Learning with Delayed Impact of Actions NeurIPS 2021 Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions AAAI 2021 Bias and variance of the Bayesian-mean decoder NeurIPS 2021 Causal Bandits with Unknown Graph Structure NeurIPS 2021 Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness AAAI 2021 Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation NeurIPS 2021 Comparison Lift: Bandit-based Experimentation System for Online Advertising AAAI 2021 Constrained Risk-Averse Markov Decision Processes AAAI 2021 Decision-Focused Summarization EMNLP 2021 Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess NeurIPS 2021 Explicable Reward Design for Reinforcement Learning Agents NeurIPS 2021 Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle AAAI 2021 K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management AAAI 2021 LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021 Learning Decision Trees Recurrently Through Communication CVPR 2021 Learning to Make Decisions via Submodular Regularization ICLR 2021 Learning to Stop with Surprisingly Few Samples COLT 2021