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Sequential Decision Making

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Showing 351–400 of 1210 papers

TitleStatusHype
Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product SearchCode0
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback—0
CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System—0
Human-Modeling in Sequential Decision-Making: An Analysis through the Lens of Human-Aware AI—0
AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments—0
Learning Planning Abstractions from Language—0
Enhancing Q-Learning with Large Language Model Heuristics—0
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows—0
MEXGEN: An Effective and Efficient Information Gain Approximation for Information Gathering Path Planning—0
Mathematics of statistical sequential decision-making: concentration, risk-awareness and modelling in stochastic bandits, with applications to bariatric surgery—0
Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback—0
Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks—0
Q-learning with temporal memory to navigate turbulence—0
Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment—0
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement LearningCode0
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation—0
Reward Learning from Suboptimal Demonstrations with Applications in Surgical Electrocautery—0
Multi-Agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet ControlCode0
Sequential Decision Making with Expert Demonstrations under Unobserved HeterogeneityCode0
Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and DetectionCode0
Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study on Anemia and Systemic Lupus ErythematosusCode0
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment—0
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks—0
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models—0
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems—0
Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian AdaptationCode0
Continual Vision-and-Language Navigation—0
Sequential Decision-Making for Inline Text Autocomplete—0
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion—0
Fast Value Tracking for Deep Reinforcement Learning—0
Supervised Fine-Tuning as Inverse Reinforcement Learning—0
State-Separated SARSA: A Practical Sequential Decision-Making Algorithm with Recovering Rewards—0
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC—0
Regret Minimization via Saddle Point Optimization—0
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents—0
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation—0
LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem—0
Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem—0
Cooperative Bayesian Optimization for Imperfect Agents—0
A Survey on Applications of Reinforcement Learning in Spatial Resource Allocation—0
Language Guided Exploration for RL Agents in Text Environments—0
Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds—0
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games—0
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections—0
Reward Design for Justifiable Sequential Decision-MakingCode0
Information-Theoretic Safe Bayesian Optimization—0
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay—0
On the Performance of Empirical Risk Minimization with Smoothed Data—0
Toward TransfORmers: Revolutionizing the Solution of Mixed Integer Programs with Transformers—0
Align Your Intents: Offline Imitation Learning via Optimal Transport—0
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