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Sequential Decision Making

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Showing 201–250 of 1210 papers

TitleStatusHype
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
Contextual Online Decision Making with Infinite-Dimensional Functional Regression—0
Deceptive Sequential Decision-Making via Regularized Policy Optimization—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
Exploring the Inquiry-Diagnosis Relationship with Advanced Patient SimulatorsCode0
On Learning Informative Trajectory Embeddings for Imitation, Classification and RegressionCode0
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
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
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
Swarm Behavior Cloning—0
How Should We Represent History in Interpretable Models of Clinical Policies?Code0
Effective Reward Specification in Deep Reinforcement Learning—0
Optimizing Sensor Redundancy in Sequential Decision-Making Problems—0
Conservative Contextual Bandits: Beyond Linear Representations—0
A Note on Sample Complexity of Interactive Imitation Learning with Log Loss—0
Discrete-Time Distribution Steering using Monte Carlo Tree SearchCode0
Nonmyopic Global Optimisation via Approximate Dynamic ProgrammingCode0
Reinforcement Learning: An OverviewCode0
Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach—0
Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals—0
Technical Report on Reinforcement Learning Control on the Lucas-Nülle Inverted Pendulum—0
Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control—0
Selective Reviews of Bandit Problems in AI via a Statistical View—0
Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari GamesCode0
STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft—0
Market Making without Regret—0
On adaptivity and minimax optimality of two-sided nearest neighborsCode0
Robust Markov Decision Processes: A Place Where AI and Formal Methods Meet—0
Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review—0
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