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Sequential Decision Making

Papers

Showing 26–50 of 1210 papers

TitleStatusHype
Automata Learning of Preferences over Temporal Logic Formulas from Pairwise Comparisons—0
Reward Is Enough: LLMs Are In-Context Reinforcement Learners—0
Web-Shepherd: Advancing PRMs for Reinforcing Web AgentsCode2
Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function ApproximationCode0
LLINBO: Trustworthy LLM-in-the-Loop Bayesian OptimizationCode1
Vid2World: Crafting Video Diffusion Models to Interactive World Models—0
OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making—0
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming—0
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics—0
Batched Nonparametric Bandits via k-Nearest Neighbor UCB—0
Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit TasksCode1
Counterfactual Strategies for Markov Decision Processes—0
Sequential Treatment Effect Estimation with Unmeasured Confounders—0
rfPG: Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs—0
A Practical Introduction to Deep Reinforcement Learning—0
Explainable Reinforcement Learning Agents Using World Models—0
A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue—0
Constrained Online Decision-Making: A Unified Framework—0
RL-DAUNCE: Reinforcement Learning-Driven Data Assimilation with Uncertainty-Aware Constrained Ensembles—0
Active Sampling for MRI-based Sequential Decision MakingCode0
Policy-labeled Preference Learning: Is Preference Enough for RLHF?—0
MDPs with a State Sensing Cost—0
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection—0
Bayesian learning of the optimal action-value function in a Markov decision process—0
A Minimax-MDP Framework with Future-imposed Conditions for Learning-augmented Problems—0
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