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Sequential Decision Making

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TitleStatusHype
A General Framework for Sequential Decision-Making under Adaptivity Constraints—0
Active Sensing as Bayes-Optimal Sequential Decision Making—0
A Unifying Framework for Reinforcement Learning and Planning—0
A finite time analysis of distributed Q-learning—0
Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization—0
How to Provably Improve Return Conditioned Supervised Learning?—0
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option—0
Advice Conformance Verification by Reinforcement Learning agents for Human-in-the-Loop—0
Active Reinforcement Learning Strategies for Offline Policy Improvement—0
A Review of Cooperation in Multi-agent Learning—0
A Reinforcement Learning Approach for Dynamic Rebalancing in Bike-Sharing System—0
Accelerating exploration and representation learning with offline pre-training—0
A Reinforcement Learning Approach for Sequential Spatial Transformer Networks—0
A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints—0
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making—0
A Robust Policy Bootstrapping Algorithm for Multi-objective Reinforcement Learning in Non-stationary Environments—0
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints—0
A Scale-Independent Multi-Objective Reinforcement Learning with Convergence Analysis—0
A Scheme for Dynamic Risk-Sensitive Sequential Decision Making—0
A Sequential Decision-Making Model for Perimeter Identification—0
A storage expansion planning framework using reinforcement learning and simulation-based optimization—0
A Short Survey On Memory Based Reinforcement Learning—0
Assessing AI Utility: The Random Guesser Test for Sequential Decision-Making Systems—0
A Strong Baseline for Batch Imitation Learning—0
A Sufficient Statistic for Influence in Structured Multiagent Environments—0
A Survey of Continual Reinforcement Learning—0
Active Measure Reinforcement Learning for Observation Cost Minimization—0
Bayesian Graph Traversal—0
Bayesian Inverse Transition Learning for Offline Settings—0
Bayesian learning of the optimal action-value function in a Markov decision process—0
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback—0
ARDuP: Active Region Video Diffusion for Universal Policies—0
Adversarial Deep Learning for Online Resource Allocation—0
A Practical Introduction to Deep Reinforcement Learning—0
Adversarial Attacks on Online Learning to Rank with Click Feedback—0
Active Learning for Accurate Estimation of Linear Models—0
Application of Deep Reinforcement Learning to Payment Fraud—0
A POMDP Extension with Belief-dependent Rewards—0
Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation—0
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding—0
AoI-Delay Tradeoff in Mobile Edge Caching: A Mixed-Order Drift-Plus-Penalty Algorithm—0
Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection—0
Bayesian decision-making under misspecified priors with applications to meta-learning—0
Bayesian Exploration Networks—0
Anti-Concentrated Confidence Bonuses for Scalable Exploration—0
Answer Set Programming for Non-Stationary Markov Decision Processes—0
A Deep Reinforcement Learning Approach to Rare Event Estimation—0
A Note on Sample Complexity of Interactive Imitation Learning with Log Loss—0
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks—0
Adaptivity in Adaptive Submodularity—0
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