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Sequential Decision Making

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Showing 926–950 of 1210 papers

TitleStatusHype
A Minimax-MDP Framework with Future-imposed Conditions for Learning-augmented Problems—0
A Mini Review on the utilization of Reinforcement Learning with OPC UA—0
A modular framework for object-based saccadic decisions in dynamic scenes—0
MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management—0
A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue—0
An advantage based policy transfer algorithm for reinforcement learning with measures of transferability—0
A naive aggregation algorithm for improving generalization in a class of learning problems—0
Analysis of Thompson Sampling for Partially Observable Contextual Multi-Armed Bandits—0
An Analysis of Frame-skipping in Reinforcement Learning—0
An Anytime Algorithm for Task and Motion MDPs—0
An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits—0
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs—0
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing—0
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making—0
An Introduction to Quantum Reinforcement Learning (QRL)—0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits—0
An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services—0
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks—0
A Note on Sample Complexity of Interactive Imitation Learning with Log Loss—0
Answer Set Programming for Non-Stationary Markov Decision Processes—0
Anti-Concentrated Confidence Bonuses for Scalable Exploration—0
AoI-Delay Tradeoff in Mobile Edge Caching: A Mixed-Order Drift-Plus-Penalty Algorithm—0
A POMDP Extension with Belief-dependent Rewards—0
Application of Deep Reinforcement Learning to Payment Fraud—0
A Practical Introduction to Deep Reinforcement Learning—0
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