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Sequential Decision Making

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Showing 601–650 of 1210 papers

TitleStatusHype
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization—0
Effective Dimension in Bandit Problems under Censorship—0
Effective Reward Specification in Deep Reinforcement Learning—0
Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability—0
Efficient quantum recurrent reinforcement learning via quantum reservoir computing—0
Efficient Reinforcement Learning with Large Language Model Priors—0
Efficient Sequential Decision Making with Large Language Models—0
Efficient Strategy Synthesis for MDPs via Hierarchical Block Decomposition—0
Embodied Scene Understanding for Vision Language Models via MetaVQA—0
Emergent Risk Awareness in Rational Agents under Resource Constraints—0
Enhancing Q-Learning with Large Language Model Heuristics—0
Entropy Regularization for Population Estimation—0
Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches—0
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing—0
Evaluating Explanation Methods for Vision-and-Language Navigation—0
Experimental analysis of data-driven control for a building heating system—0
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring—0
Explainable Reinforcement Learning Agents Using World Models—0
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey—0
Explainable Reinforcement Learning via Temporal Policy Decomposition—0
Exploiting Model Equivalences for Solving Interactive Dynamic Influence Diagrams—0
Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach—0
Exploiting Relevance for Online Decision-Making in High-Dimensions—0
Exploration-Exploitation in Constrained MDPs—0
Exploration Unbound—0
Exploration via Epistemic Value Estimation—0
Exploring a Physics-Informed Decision Transformer for Distribution System Restoration: Methodology and Performance Analysis—0
Exploring Explainable Multi-player MCTS-minimax Hybrids in Board Game Using Process Mining—0
Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals—0
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities—0
Fairness in Learning-Based Sequential Decision Algorithms: A Survey—0
Fairness in Multi-Agent Sequential Decision-Making—0
Fairness in Reinforcement Learning with Bisimulation Metrics—0
FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems—0
Fair Resource Allocation in Weakly Coupled Markov Decision Processes—0
Falsification-Based Robust Adversarial Reinforcement Learning—0
Revisiting Game Representations: The Hidden Costs of Efficiency in Sequential Decision-making Algorithms—0
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments—0
Fast Online Exact Solutions for Deterministic MDPs with Sparse Rewards—0
Fast reinforcement learning with generalized policy updates—0
Fast Value Tracking for Deep Reinforcement Learning—0
Fast Video Classification via Adaptive Cascading of Deep Models—0
Federated Ensemble Model-based Reinforcement Learning in Edge Computing—0
Federated Linear Contextual Bandits with User-level Differential Privacy—0
Federated Multi-Armed Bandits Under Byzantine Attacks—0
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning—0
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search—0
Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning—0
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach—0
Flow-based Recurrent Belief State Learning for POMDPs—0
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