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Sequential Decision Making

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Showing 526–550 of 1210 papers

TitleStatusHype
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits—0
Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches—0
Entropy Regularization for Population Estimation—0
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning—0
Enhancing Q-Learning with Large Language Model Heuristics—0
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey—0
Boltzmann Exploration Done Right—0
An Introduction to Quantum Reinforcement Learning (QRL)—0
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making—0
Action Set Based Policy Optimization for Safe Power Grid Management—0
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics—0
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps—0
Emergent Risk Awareness in Rational Agents under Resource Constraints—0
Embodied Scene Understanding for Vision Language Models via MetaVQA—0
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits—0
Efficient Strategy Synthesis for MDPs via Hierarchical Block Decomposition—0
Blessing from Human-AI Interaction: Super Reinforcement Learning in Confounded Environments—0
Efficient Sequential Decision Making with Large Language Models—0
Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits—0
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing—0
Efficient Reinforcement Learning with Large Language Model Priors—0
Efficient quantum recurrent reinforcement learning via quantum reservoir computing—0
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods—0
Beyond O(T) Regret: Decoupling Learning and Decision-making in Online Linear Programming—0
Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability—0
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