sequential decision

LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios NeurIPS 2023 Likelihood Ratio Confidence Sets for Sequential Decision Making NeurIPS 2023 Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications AAAI 2023 Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization NeurIPS 2023 Reinforcement Learning with Stepwise Fairness Constraints AISTATS 2023 Sequential Strategic Screening ICML 2023 SLDT: Sequential Latent Document Transformer for Multilingual Document-based Dialogue ACL 2023 Zero-Shot Assistance in Sequential Decision Problems AAAI 2023 Achieving Long-Term Fairness in Sequential Decision Making AAAI 2022 Active Example Selection for In-Context Learning EMNLP 2022 A Simple Unified Framework for High Dimensional Bandit Problems ICML 2022 Causal Bandits without prior knowledge using separating sets CLeaR 2022 Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems NeurIPS 2022 Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem NeurIPS 2022 Nonstochastic Bandits with Composite Anonymous Feedback JMLR 2022 Pre-Trained Language Models for Interactive Decision-Making NeurIPS 2022 Smoothed Adversarial Linear Contextual Bandits with Knapsacks ICML 2022 When to Intervene: Learning Optimal Intervention Policies for Critical Events NeurIPS 2022 Active Offline Policy Selection NeurIPS 2021 Adaptivity in Adaptive Submodularity COLT 2021 Deciding What to Learn: A Rate-Distortion Approach ICML 2021 Ethically Compliant Sequential Decision Making AAAI 2021 Greedy Approximation Algorithms for Active Sequential Hypothesis Testing NeurIPS 2021 Heuristic-Guided Reinforcement Learning NeurIPS 2021 Inverse Decision Modeling: Learning Interpretable Representations of Behavior ICML 2021