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Sequential Decision Making

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Showing 251–300 of 1210 papers

TitleStatusHype
Fair Resource Allocation in Weakly Coupled Markov Decision Processes—0
SANDWICH: Towards an Offline, Differentiable, Fully-Trainable Wireless Neural Ray-Tracing SurrogateCode0
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective—0
Optimal Control of Mechanical Ventilators with Learned Respiratory DynamicsCode0
PageRank Bandits for Link PredictionCode0
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization—0
Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness—0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits—0
Robust Thompson Sampling Algorithms Against Reward Poisoning Attacks—0
Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting—0
Learning Versatile Skills with Curriculum MaskingCode0
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning—0
Hierarchical Upper Confidence Bounds for Constrained Online Learning—0
SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight Relabeling—0
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision MakingCode0
Communication-Control Codesign for Large-Scale Wireless Networked Control Systems—0
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes—0
Offline Hierarchical Reinforcement Learning via Inverse Optimization—0
Efficient Reinforcement Learning with Large Language Model Priors—0
On the Modeling Capabilities of Large Language Models for Sequential Decision Making—0
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback—0
Preference Optimization as Probabilistic Inference—0
Minimax-optimal trust-aware multi-armed bandits—0
Learning a Fast Mixing Exogenous Block MDP using a Single TrajectoryCode0
Adaptive teachers for amortized samplersCode0
AVID: Adapting Video Diffusion Models to World ModelsCode0
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel—0
Collaborative Comic Generation: Integrating Visual Narrative Theories with AI Models for Enhanced CreativityCode0
Learning Utilities from Demonstrations in Markov Decision Processes—0
Reference Points, Risk-Taking Behavior, and Competitive Outcomes in Sequential Settings—0
Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark—0
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation—0
HierLLM: Hierarchical Large Language Model for Question Recommendation—0
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies—0
Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting—0
An Introduction to Quantum Reinforcement Learning (QRL)—0
Sliding-Window Thompson Sampling for Non-Stationary Settings—0
A naive aggregation algorithm for improving generalization in a class of learning problems—0
InfraLib: Enabling Reinforcement Learning and Decision-Making for Large-Scale Infrastructure Management—0
A Sequential Decision-Making Model for Perimeter Identification—0
Temporal Elections: Welfare, Strategyproofness, and Proportionality—0
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems—0
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation—0
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing—0
Contextual Bandits for Unbounded Context Distributions—0
Enhancing Heterogeneous Multi-Agent Cooperation in Decentralized MARL via GNN-driven Intrinsic RewardsCode0
Meta Clustering of Neural Bandits—0
Structure and Reduction of MCTS for Explainable-AI—0
Non-maximizing policies that fulfill multi-criterion aspirations in expectation—0
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps—0
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