sequential decision making

Learning Planning Abstractions from Language ICLR 2024 Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards NeurIPS 2024 Learning to Make Adherence-aware Advice ICLR 2024 LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation NeurIPS 2024 Long-Term Fair Decision Making through Deep Generative Models AAAI 2024 Lookback Prophet Inequalities NeurIPS 2024 Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs NeurIPS 2024 Online Calibrated and Conformal Prediction Improves Bayesian Optimization AISTATS 2024 On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NeurIPS 2024 OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators NeurIPS 2024 PageRank Bandits for Link Prediction NeurIPS 2024 Parameterized Projected Bellman Operator AAAI 2024 PISDR: Page and Item Sequential Decision for Re-ranking Based on Offline Reinforcement Learning ACML 2024 Proportional Aggregation of Preferences for Sequential Decision Making AAAI 2024 Provably Efficient UCB-type Algorithms For Learning Predictive State Representations ICLR 2024 Pursuing Overall Welfare in Federated Learning through Sequential Decision Making ICML 2024 Recursively-Constrained Partially Observable Markov Decision Processes UAI 2024 Regularized Conditional Diffusion Model for Multi-Task Preference Alignment NeurIPS 2024 Reinforcement Learning from Reachability Specifications: PAC Guarantees with Expected Conditional Distance ICML 2024 Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making ICML 2024 Rethinking Transformers in Solving POMDPs ICML 2024 Reward Design for Justifiable Sequential Decision-Making ICLR 2024 Robust Active Measuring under Model Uncertainty AAAI 2024 Robust Visual Imitation Learning with Inverse Dynamics Representations AAAI 2024 Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel NeurIPS 2024