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Sequential Decision Making

Papers

Showing 2650 of 1210 papers

TitleStatusHype
Automata Learning of Preferences over Temporal Logic Formulas from Pairwise Comparisons0
Reward Is Enough: LLMs Are In-Context Reinforcement Learners0
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 Models0
OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making0
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming0
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics0
Batched Nonparametric Bandits via k-Nearest Neighbor UCB0
Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit TasksCode1
Counterfactual Strategies for Markov Decision Processes0
Sequential Treatment Effect Estimation with Unmeasured Confounders0
rfPG: Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs0
A Practical Introduction to Deep Reinforcement Learning0
Explainable Reinforcement Learning Agents Using World Models0
A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue0
Constrained Online Decision-Making: A Unified Framework0
RL-DAUNCE: Reinforcement Learning-Driven Data Assimilation with Uncertainty-Aware Constrained Ensembles0
Active Sampling for MRI-based Sequential Decision MakingCode0
Policy-labeled Preference Learning: Is Preference Enough for RLHF?0
MDPs with a State Sensing Cost0
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection0
Bayesian learning of the optimal action-value function in a Markov decision process0
A Minimax-MDP Framework with Future-imposed Conditions for Learning-augmented Problems0
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