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Sequential Decision Making

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Showing 151–175 of 1210 papers

TitleStatusHype
An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services—0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits—0
Action Set Based Policy Optimization for Safe Power Grid Management—0
An Introduction to Quantum Reinforcement Learning (QRL)—0
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making—0
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics—0
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps—0
Building Intelligent Autonomous Navigation Agents—0
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing—0
Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning—0
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs—0
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL—0
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning—0
An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits—0
An Anytime Algorithm for Task and Motion MDPs—0
Adaptive Robust Online Portfolio Selection—0
An Analysis of Frame-skipping in Reinforcement Learning—0
Analysis of Thompson Sampling for Partially Observable Contextual Multi-Armed Bandits—0
Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds—0
A Contextual Bandit Approach for Stream-Based Active Learning—0
Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language—0
Bayesian Graph Traversal—0
Federated Learning with Uncertainty via Distilled Predictive Distributions—0
Bayesian Exploration Networks—0
Bayesian decision-making under misspecified priors with applications to meta-learning—0
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