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Sequential Decision Making

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TitleStatusHype
A Contextual Bandit Approach for Stream-Based Active Learning—0
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback—0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving—0
Bayesian Graph Traversal—0
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation—0
Federated Learning with Uncertainty via Distilled Predictive Distributions—0
Divide-and-Conquer Monte Carlo Tree Search—0
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning—0
Bayesian Exploration Networks—0
Distributional Robustness and Regularization in Reinforcement Learning—0
Distributed Optimization via Kernelized Multi-armed Bandits—0
Bayesian decision-making under misspecified priors with applications to meta-learning—0
A naive aggregation algorithm for improving generalization in a class of learning problems—0
Adaptive Sampling for Discovery—0
Distributed Online Learning in Social Recommender Systems—0
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC—0
Learning "What-if" Explanations for Sequential Decision-Making—0
Distributed Learning: Sequential Decision Making in Resource-Constrained Environments—0
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox—0
Batched Nonparametric Bandits via k-Nearest Neighbor UCB—0
An advantage based policy transfer algorithm for reinforcement learning with measures of transferability—0
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning—0
Direct and indirect reinforcement learning—0
Batched Neural Bandits—0
Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing—0
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