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Sequential Decision Making

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TitleStatusHype
Online Learning with Off-Policy Feedback—0
Online Planning Algorithms for POMDPs—0
Online Planning for Decentralized Stochastic Control with Partial History Sharing—0
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints—0
Online Sequential Decision-Making with Unknown Delays—0
Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent—0
Online Statistical Inference in Decision-Making with Matrix Context—0
On Optimal Robustness to Adversarial Corruption in Online Decision Problems—0
Towards Tractable Optimism in Model-Based Reinforcement Learning—0
On preserving non-discrimination when combining expert advice—0
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond—0
On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models—0
On the Expressivity of Multidimensional Markov Reward—0
On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures—0
On the Modeling Capabilities of Large Language Models for Sequential Decision Making—0
On the Performance of Empirical Risk Minimization with Smoothed Data—0
On the Relationship Between Structure in Natural Language and Models of Sequential Decision Processes—0
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games—0
Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies—0
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators—0
Robust optimal policies for team Markov games—0
Optimal Inspection and Maintenance Planning for Deteriorating Structural Components through Dynamic Bayesian Networks and Markov Decision Processes—0
Optimal Learning for Sequential Decision Making for Expensive Cost Functions with Stochastic Binary Feedbacks—0
Optimal Sensing via Multi-armed Bandit Relaxations in Mixed Observability Domains—0
Optimal Sequential Decision-Making in Geosteering: A Reinforcement Learning Approach—0
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