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Sequential Decision Making

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TitleStatusHype
AVID: Adapting Video Diffusion Models to World Models—0
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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