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Sequential Decision Making

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Showing 851–875 of 1210 papers

TitleStatusHype
Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards—0
Multi-echelon Supply Chains with Uncertain Seasonal Demands and Lead Times Using Deep Reinforcement Learning—0
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets—0
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models—0
Multimodal Pretrained Models for Verifiable Sequential Decision-Making: Planning, Grounding, and Perception—0
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions—0
Multi-shot Pedestrian Re-identification via Sequential Decision Making—0
Multi-Task Generative Adversarial Nets with Shared Memory for Cross-Domain Coordination Control—0
Multi-task Representation Learning for Pure Exploration in Linear Bandits—0
MuZero with Self-competition for Rate Control in VP9 Video Compression—0
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes—0
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism—0
Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making—0
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations—0
Network Offloading Policies for Cloud Robotics: a Learning-based Approach—0
Neural Bootstrapping Attention for Neural Processes—0
Neural Column Generation for Capacitated Vehicle Routing—0
Neural Heterogeneous Scheduler—0
Neuro-symbolic Meta Reinforcement Learning for Trading—0
Neuro-Symbolic World Models for Adapting to Open World Novelty—0
No DBA? No regret! Multi-armed bandits for index tuning of analytical and HTAP workloads with provable guarantees—0
Non-Deterministic Policies in Markovian Decision Processes—0
Non-maximizing policies that fulfill multi-criterion aspirations in expectation—0
Non-Stationary Bandits with Habituation and Recovery Dynamics—0
Non-stationary Delayed Combinatorial Semi-Bandit with Causally Related Rewards—0
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