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Sequential Decision Making

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Showing 851–900 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
Not all users are the same: Providing personalized explanations for sequential decision making problems—0
Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification—0
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty—0
O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models—0
Observation Adaptation via Annealed Importance Resampling for Partially Observable Markov Decision Processes—0
Offline Action-Free Learning of Ex-BMDPs by Comparing Diverse Datasets—0
Offline Hierarchical Reinforcement Learning via Inverse Optimization—0
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion—0
Offline Learning for Combinatorial Multi-armed Bandits—0
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient—0
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming—0
Off-Policy Evaluation for Sequential Persuasion Process with Unobserved Confounding—0
OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making—0
On adaptivity and minimax optimality of two-sided nearest neighbors—0
On Bellman's Optimality Principle for zs-POSGs—0
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making—0
On Computation and Generalization of Generative Adversarial Imitation Learning—0
On Efficiency in Hierarchical Reinforcement Learning—0
On Efficient Online Imitation Learning via Classification—0
One-shot learning and behavioral eligibility traces in sequential decision making—0
On Improving Deep Reinforcement Learning for POMDPs—0
Online Batch Decision-Making with High-Dimensional Covariates—0
Online Clustering of Dueling Bandits—0
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games—0
Online Convex Optimization with Continuous Switching Constraint—0
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