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Sequential Decision Making

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Showing 1101–1150 of 1210 papers

TitleStatusHype
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey—0
Deep Robust Kalman Filter—0
Deep VULMAN: A Deep Reinforcement Learning-Enabled Cyber Vulnerability Management Framework—0
Delay and Cooperation in Nonstochastic Linear Bandits—0
Delayed Feedback in Generalised Linear Bandits Revisited—0
Delays in Reinforcement Learning—0
Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts—0
Demystify Painting with RL—0
Design of intentional backdoors in sequential models—0
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning—0
Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment—0
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning—0
DIP-RL: Demonstration-Inferred Preference Learning in Minecraft—0
Direct and indirect reinforcement learning—0
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning—0
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox—0
Distributed Learning: Sequential Decision Making in Resource-Constrained Environments—0
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC—0
Distributed Online Learning in Social Recommender Systems—0
Distributed Optimization via Kernelized Multi-armed Bandits—0
Distributional Robustness and Regularization in Reinforcement Learning—0
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning—0
Divide-and-Conquer Monte Carlo Tree Search—0
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation—0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving—0
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback—0
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning—0
Doubly Robust Policy Evaluation and Optimization—0
DriveGPT: Scaling Autoregressive Behavior Models for Driving—0
Dynamic Bi-Objective Routing of Multiple Vehicles—0
Dynamic Decision Making for Graphical Models Applied to Oil Exploration—0
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning—0
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization—0
Effective Dimension in Bandit Problems under Censorship—0
Effective Reward Specification in Deep Reinforcement Learning—0
Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability—0
Efficient quantum recurrent reinforcement learning via quantum reservoir computing—0
Efficient Reinforcement Learning with Large Language Model Priors—0
Efficient Sequential Decision Making with Large Language Models—0
Efficient Strategy Synthesis for MDPs via Hierarchical Block Decomposition—0
Embodied Scene Understanding for Vision Language Models via MetaVQA—0
Emergent Risk Awareness in Rational Agents under Resource Constraints—0
Enhancing Q-Learning with Large Language Model Heuristics—0
Entropy Regularization for Population Estimation—0
Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches—0
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing—0
Evaluating Explanation Methods for Vision-and-Language Navigation—0
Experimental analysis of data-driven control for a building heating system—0
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring—0
Explainable Reinforcement Learning Agents Using World Models—0
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