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Sequential Decision Making

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Showing 501–550 of 1210 papers

TitleStatusHype
Human AI interaction loop training: New approach for interactive reinforcement learning—0
Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning—0
A Note on Sample Complexity of Interactive Imitation Learning with Log Loss—0
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets—0
Human-Modeling in Sequential Decision-Making: An Analysis through the Lens of Human-Aware AI—0
Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach—0
Hyperbolic Deep Reinforcement Learning—0
Hyperparameter Transfer Learning with Adaptive Complexity—0
Hyper-parameter Tuning under a Budget Constraint—0
HyperQ-Opt: Q-learning for Hyperparameter Optimization—0
Exploiting Model Equivalences for Solving Interactive Dynamic Influence Diagrams—0
Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting—0
Explainable Reinforcement Learning via Temporal Policy Decomposition—0
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey—0
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks—0
Adaptivity in Adaptive Submodularity—0
Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation—0
Explainable Reinforcement Learning Agents Using World Models—0
Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language—0
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring—0
Experimental analysis of data-driven control for a building heating system—0
An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services—0
Evaluating Explanation Methods for Vision-and-Language Navigation—0
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing—0
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning—0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits—0
Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches—0
Entropy Regularization for Population Estimation—0
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning—0
Enhancing Q-Learning with Large Language Model Heuristics—0
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey—0
Boltzmann Exploration Done Right—0
An Introduction to Quantum Reinforcement Learning (QRL)—0
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making—0
Action Set Based Policy Optimization for Safe Power Grid Management—0
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics—0
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps—0
Emergent Risk Awareness in Rational Agents under Resource Constraints—0
Embodied Scene Understanding for Vision Language Models via MetaVQA—0
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits—0
Efficient Strategy Synthesis for MDPs via Hierarchical Block Decomposition—0
Blessing from Human-AI Interaction: Super Reinforcement Learning in Confounded Environments—0
Efficient Sequential Decision Making with Large Language Models—0
Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits—0
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing—0
Efficient Reinforcement Learning with Large Language Model Priors—0
Efficient quantum recurrent reinforcement learning via quantum reservoir computing—0
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods—0
Beyond O(T) Regret: Decoupling Learning and Decision-making in Online Linear Programming—0
Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability—0
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