Decision Making

Asymptotic Instance-Optimal Algorithms for Interactive Decision Making ICLR 2023 Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions NeurIPS 2023 Class Fairness in Online Matching AAAI 2023 Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NeurIPS 2023 Contextual Gaussian Process Bandits with Neural Networks NeurIPS 2023 Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations NeurIPS 2023 Evaluating Digital Agriculture Recommendations with Causal Inference AAAI 2023 Explainable and Efficient Randomized Voting Rules NeurIPS 2023 Extracting Reward Functions from Diffusion Models NeurIPS 2023 Generative Decision Making Under Uncertainty AAAI 2023 Hierarchical Prompting Assists Large Language Model on Web Navigation EMNLP 2023 Ignorance is Bliss: Robust Control via Information Gating NeurIPS 2023 LDM2: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement EMNLP 2023 Learning to Receive Help: Intervention-Aware Concept Embedding Models NeurIPS 2023 LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios NeurIPS 2023 Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach AAAI 2023 Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications AAAI 2023 Moral Machine or Tyranny of the Majority? AAAI 2023 Online Nonstochastic Model-Free Reinforcement Learning NeurIPS 2023 On the Sensitivity of Reward Inference to Misspecified Human Models ICLR 2023 Optimal Treatment Regimes for Proximal Causal Learning NeurIPS 2023 Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA ACL 2023 PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks AAAI 2023 Principled Data-Driven Decision Support for Cyber-Forensic Investigations AAAI 2023 Quantifying the Cost of Learning in Queueing Systems NeurIPS 2023