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Sequential Decision Making

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Showing 401–450 of 1210 papers

TitleStatusHype
Circuit Routing Using Monte Carlo Tree Search and Deep Neural Networks—0
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search—0
Chasing Ghosts: Competing with Stateful Policies—0
Adversarial Attacks on Online Learning to Rank with Click Feedback—0
Active Learning for Accurate Estimation of Linear Models—0
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning—0
Federated Linear Contextual Bandits with User-level Differential Privacy—0
Application of Deep Reinforcement Learning to Payment Fraud—0
Causal Markov Decision Processes: Learning Good Interventions Efficiently—0
Fast reinforcement learning with generalized policy updates—0
Causal Bandits without prior knowledge using separating sets—0
A POMDP Extension with Belief-dependent Rewards—0
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments—0
Revisiting Game Representations: The Hidden Costs of Efficiency in Sequential Decision-making Algorithms—0
Falsification-Based Robust Adversarial Reinforcement Learning—0
Causal Bayesian Optimization—0
Fair Resource Allocation in Weakly Coupled Markov Decision Processes—0
FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems—0
Reinforcement Learning for Freight Booking Control Problems—0
Fairness in Reinforcement Learning with Bisimulation Metrics—0
AoI-Delay Tradeoff in Mobile Edge Caching: A Mixed-Order Drift-Plus-Penalty Algorithm—0
Fast Online Exact Solutions for Deterministic MDPs with Sparse Rewards—0
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding—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
Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation—0
Federated Multi-Armed Bandits Under Byzantine Attacks—0
Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection—0
Fairness in Multi-Agent Sequential Decision-Making—0
Fairness in Learning-Based Sequential Decision Algorithms: A Survey—0
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities—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
Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals—0
Can A User Anticipate What Her Followers Want?—0
Anti-Concentrated Confidence Bonuses for Scalable Exploration—0
Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning—0
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes—0
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies—0
Exploring Explainable Multi-player MCTS-minimax Hybrids in Board Game Using Process Mining—0
Exploring a Physics-Informed Decision Transformer for Distribution System Restoration: Methodology and Performance Analysis—0
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making—0
From Preference-Based to Multiobjective Sequential Decision-Making—0
Building Intelligent Autonomous Navigation Agents—0
GAS: Generative Auto-bidding with Post-training Search—0
Answer Set Programming for Non-Stationary Markov Decision Processes—0
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming—0
Generalization to New Sequential Decision Making Tasks with In-Context Learning—0
A Deep Reinforcement Learning Approach to Rare Event Estimation—0
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