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Sequential Decision Making

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TitleStatusHype
Optimal sequential decision making with probabilistic digital twins—0
Optimistic MLE -- A Generic Model-based Algorithm for Partially Observable Sequential Decision Making—0
Optimization of anemia treatment in hemodialysis patients via reinforcement learning—0
Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning—0
Optimizing Memory Mapping Using Deep Reinforcement Learning—0
Optimizing Sensor Redundancy in Sequential Decision-Making Problems—0
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows—0
PAC Reinforcement Learning with Rich Observations—0
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework—0
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation—0
Partial-Adaptive Submodular Maximization—0
Partially Observable Stochastic Games with Neural Perception Mechanisms—0
Partial-Monotone Adaptive Submodular Maximization—0
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams—0
Patterns, predictions, and actions: A story about machine learning—0
PDQN - A Deep Reinforcement Learning Method for Planning with Long Delays: Optimization of Manufacturing Dispatching—0
Pessimistic Model Selection for Offline Deep Reinforcement Learning—0
Planning with General Objective Functions: Going Beyond Total Rewards—0
Playing against Nature: causal discovery for decision making under uncertainty—0
POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment Regimes—0
Mean-Variance Efficient Reinforcement Learning with Applications to Dynamic Financial Investment—0
Policy Gradient With Value Function Approximation For Collective Multiagent Planning—0
Policy-labeled Preference Learning: Is Preference Enough for RLHF?—0
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning—0
Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs—0
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