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Sequential Decision Making

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Showing 901–950 of 1210 papers

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
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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