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Sequential Decision Making

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Showing 301–350 of 1210 papers

TitleStatusHype
Deep Reinforcement Learning for Adaptive Mesh Refinement—0
Automata Learning of Preferences over Temporal Logic Formulas from Pairwise Comparisons—0
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop Systems—0
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction—0
Automating Predictive Modeling Process using Reinforcement Learning—0
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications—0
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games—0
Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks—0
Deep Reinforcement Learning for Portfolio Optimization using Latent Feature State Space (LFSS) Module—0
Deep Reinforcement Learning for Robust Goal-Based Wealth Management—0
Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation Dispatchability—0
Selective Network Discovery via Deep Reinforcement Learning on Embedded Spaces—0
Autonomous Tree-search Ability of Large Language Models—0
Deep Reinforcement Learning for Visual Object Tracking in Videos—0
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents—0
Deep Robust Kalman Filter—0
A Minimax-MDP Framework with Future-imposed Conditions for Learning-augmented Problems—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
AVID: Adapting Video Diffusion Models to World Models—0
Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts—0
Demystify Painting with RL—0
Bandit based centralized matching in two-sided markets for peer to peer lending—0
Design of intentional backdoors in sequential models—0
Bandit Convex Optimization in Non-stationary Environments—0
MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management—0
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning—0
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games—0
Bandits in Matching Markets: Ideas and Proposals for Peer Lending—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
Batched Neural Bandits—0
A Computational Framework for Motor Skill Acquisition—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
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time—0
Algorithms for CVaR Optimization in MDPs—0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving—0
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning—0
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