dynamic programming

Formally Verified Solution Methods for Markov Decision Processes AAAI 2023 Improved Algorithms for Allen's Interval Algebra by Dynamic Programming with Sublinear Partitioning IJCAI 2023 Jump Interval-Learning for Individualized Decision Making with Continuous Treatments JMLR 2023 Lifted Inference with Linear Order Axiom AAAI 2023 Matching Latent Encoding for Audio-Text based Keyword Spotting Interspeech 2023 Maximum Independent Set: Self-Training through Dynamic Programming NeurIPS 2023 Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming NeurIPS 2023 On Computing Optimal Tree Ensembles ICML 2023 On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes NeurIPS 2023 On the Within-Group Fairness of Screening Classifiers ICML 2023 Optimal Sparse Regression Trees AAAI 2023 Optimistic Planning by Regularized Dynamic Programming ICML 2023 Percentile Criterion Optimization in Offline Reinforcement Learning NeurIPS 2023 Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL ICML 2023 Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay ICLR 2023 Robust Average-Reward Markov Decision Processes AAAI 2023 Sampling Ex-Post Group-Fair Rankings IJCAI 2023 Sentence Identification with BOS and EOS Label Combinations EACL 2023 Solving multi-model MDPs by coordinate ascent and dynamic programming UAI 2023 Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective NeurIPS 2023 Uncertainty-Aware Image Captioning AAAI 2023 A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization NeurIPS 2022 A Fine-Tuning Approach to Belief State Modeling ICLR 2022 Algorithms for Weighted Pushdown Automata EMNLP 2022 All Politics is Local: Redistricting via Local Fairness NeurIPS 2022