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Sequential Decision Making

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Showing 101–150 of 1210 papers

TitleStatusHype
Value Gradient Sampler: Sampling as Sequential Decision MakingCode0
Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel DecodingCode0
Learning Fair Policies for Infectious Diseases Mitigation using Path Integral Control—0
Self-Evaluation for Job-Shop Scheduling—0
Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning—0
A Survey on Explainable Deep Reinforcement Learning—0
Unifying and Optimizing Data Values for Selection via Sequential-Decision-Making—0
Online Clustering of Dueling Bandits—0
VLA-Cache: Towards Efficient Vision-Language-Action Model via Adaptive Token Caching in Robotic Manipulation—0
Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily AssistantCode0
Meta-Prompt Optimization for LLM-Based Sequential Decision Making—0
Offline Learning for Combinatorial Multi-armed Bandits—0
Deceptive Sequential Decision-Making via Regularized Policy Optimization—0
Contextual Online Decision Making with Infinite-Dimensional Functional Regression—0
HD-CB: The First Exploration of Hyperdimensional Computing for Contextual Bandits Problems—0
Sample-Efficient Behavior Cloning Using General Domain Knowledge—0
An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online AdvertisingCode0
Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization—0
On Learning Informative Trajectory Embeddings for Imitation, Classification and RegressionCode0
Exploring the Inquiry-Diagnosis Relationship with Advanced Patient SimulatorsCode0
Embodied Scene Understanding for Vision Language Models via MetaVQA—0
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing—0
All AI Models are Wrong, but Some are Optimal—0
Generative Flow Networks: Theory and Applications to Structure Learning—0
Explainable Reinforcement Learning via Temporal Policy Decomposition—0
Beyond O(T) Regret: Decoupling Learning and Decision-making in Online Linear Programming—0
Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning PoliciesCode1
SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning—0
Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts—0
Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning—0
Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation StrategiesCode0
MineStudio: A Streamlined Package for Minecraft AI Agent DevelopmentCode3
HyperQ-Opt: Q-learning for Hyperparameter Optimization—0
Fairness in Reinforcement Learning with Bisimulation Metrics—0
GAS: Generative Auto-bidding with Post-training Search—0
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations—0
DriveGPT: Scaling Autoregressive Behavior Models for Driving—0
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves—0
Active Reinforcement Learning Strategies for Offline Policy Improvement—0
Revelations: A Decidable Class of POMDPs with Omega-Regular ObjectivesCode0
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient—0
How Should We Represent History in Interpretable Models of Clinical Policies?Code0
Effective Reward Specification in Deep Reinforcement Learning—0
Swarm Behavior Cloning—0
Optimizing Sensor Redundancy in Sequential Decision-Making Problems—0
Discrete-Time Distribution Steering using Monte Carlo Tree SearchCode0
A Note on Sample Complexity of Interactive Imitation Learning with Log Loss—0
Conservative Contextual Bandits: Beyond Linear Representations—0
Reinforcement Learning: An Overview—0
Nonmyopic Global Optimisation via Approximate Dynamic ProgrammingCode0
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