sequential decision making

Reference-Based POMDPs NeurIPS 2023 Regret Minimization via Saddle Point Optimization NeurIPS 2023 Reinforcement Learning with Stepwise Fairness Constraints AISTATS 2023 Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching ICLR 2023 Simulating Network Paths with Recurrent Buffering Units AAAI 2023 SMART: Self-supervised Multi-task pretrAining with contRol Transformers ICLR 2023 State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding NeurIPS 2023 TGRL: An Algorithm for Teacher Guided Reinforcement Learning ICML 2023 Thresholded linear bandits AISTATS 2023 Zero-Shot Assistance in Sequential Decision Problems AAAI 2023 Action-Sufficient State Representation Learning for Control with Structural Constraints ICML 2022 Adaptive Sampling for Discovery NeurIPS 2022 Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models AAAI 2022 An Online Learning Approach towards Far-sighted Emergency Relief Planning under Intentional Attacks in Conflict Areas IJCAI 2022 Application of Neurosymbolic AI to Sequential Decision Making IJCAI 2022 Bayesian Persuasion in Sequential Decision-Making AAAI 2022 Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations ICLR 2022 Contextual Bandits with Large Action Spaces: Made Practical ICML 2022 Deep Reinforcement Learning for Entity Alignment ACL 2022 Dungeons and Data: A Large-Scale NetHack Dataset NeurIPS 2022 Dynamic Learning in Large Matching Markets NeurIPS 2022 Effective Dimension in Bandit Problems under Censorship NeurIPS 2022 GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy NeurIPS 2022 How to Reduce Action Space for Planning Domains? (Student Abstract) AAAI 2022 Information-Theoretic Safe Exploration with Gaussian Processes NeurIPS 2022