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Sequential Decision Making

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Showing 651–675 of 1210 papers

TitleStatusHype
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning—0
Sequential Information Design: Learning to Persuade in the Dark—0
MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization—0
Federated Online Clustering of BanditsCode0
JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents—0
Entropy Regularization for Population Estimation—0
Sampling Through the Lens of Sequential Decision Making—0
Streaming Adaptive Submodular Maximization—0
Understanding the stochastic dynamics of sequential decision-making processes: A path-integral analysis of multi-armed bandits—0
Deep VULMAN: A Deep Reinforcement Learning-Enabled Cyber Vulnerability Management Framework—0
A Bayesian Approach to Learning Bandit Structure in Markov Decision Processes—0
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions—0
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning—0
Partial-Monotone Adaptive Submodular Maximization—0
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential Equations—0
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution—0
High dimensional stochastic linear contextual bandit with missing covariates—0
Strategising template-guided needle placement for MR-targeted prostate biopsy—0
Delayed Feedback in Generalised Linear Bandits Revisited—0
Online Learning with Off-Policy Feedback—0
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models—0
Hindsight Learning for MDPs with Exogenous InputsCode0
Contextual Bandits with Large Action Spaces: Made PracticalCode0
Scaling up ML-based Black-box Planning with Partial STRIPS Models—0
Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts—0
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