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Sequential Decision Making

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Showing 251–300 of 1210 papers

TitleStatusHype
"Give Me an Example Like This": Episodic Active Reinforcement Learning from DemonstrationsCode0
Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability ObjectivesCode0
Rectifying Reinforcement Learning for Reward Matching—0
Re-ReST: Reflection-Reinforced Self-Training for Language AgentsCode1
Combining Experimental and Historical Data for Policy EvaluationCode0
Reward Machines for Deep RL in Noisy and Uncertain EnvironmentsCode0
Pursuing Overall Welfare in Federated Learning through Sequential Decision MakingCode1
Low-rank finetuning for LLMs: A fairness perspective—0
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators—0
Leveraging Offline Data in Linear Latent Bandits—0
Rethinking Transformers in Solving POMDPsCode1
Variational Offline Multi-agent Skill Discovery—0
Inference of Utilities and Time Preference in Sequential Decision-Making—0
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning—0
Reinforcing Language Agents via Policy Optimization with Action Decomposition—0
Efficiently Training Deep-Learning Parametric Policies using Lagrangian Duality—0
Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making—0
A finite time analysis of distributed Q-learning—0
FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear BanditsCode0
On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models—0
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback—0
Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product SearchCode0
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?Code0
CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System—0
AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments—0
Human-Modeling in Sequential Decision-Making: An Analysis through the Lens of Human-Aware AI—0
Learning Planning Abstractions from Language—0
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows—0
Enhancing Q-Learning with Large Language Model Heuristics—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
Sequential Decision Making with Expert Demonstrations under Unobserved HeterogeneityCode0
Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and DetectionCode0
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
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
Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State SpacesCode1
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
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