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Sequential Decision Making

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Showing 701–750 of 1210 papers

TitleStatusHype
Representation Learning for Context-Dependent Decision-Making—0
Hierarchical Constrained Stochastic Shortest Path Planning via Cost Budget Allocation—0
Federated Multi-Armed Bandits Under Byzantine Attacks—0
Explainable Knowledge Graph Embedding: Inference Reconciliation for Knowledge Inferences Supporting Robot ActionsCode0
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers—0
Evolutionary Multi-Armed Bandits with Genetic Thompson SamplingCode0
Toward Policy Explanations for Multi-Agent Reinforcement LearningCode0
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection—0
GFCL: A GRU-based Federated Continual Learning Framework against Data Poisoning Attacks in IoV—0
SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics—0
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models—0
Worst-case Performance of Greedy Policies in Bandits with Imperfect Context Observations—0
Achieving Long-Term Fairness in Sequential Decision MakingCode0
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes—0
An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services—0
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty—0
Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects—0
The price of unfairness in linear bandits with biased feedback—0
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism—0
A Trainable Approach to Zero-delay Smoothing Spline Interpolation—0
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions—0
Linear Stochastic Bandits over a Bit-Constrained Channel—0
Hierarchical Reinforcement Learning with AI Planning ModelsCode0
LISA: Learning Interpretable Skill Abstractions from LanguageCode0
Simulating Network Paths with Recurrent Buffering Units—0
A Survey of Explainable Reinforcement Learning—0
MuZero with Self-competition for Rate Control in VP9 Video Compression—0
Sequential Bayesian experimental designs via reinforcement learning—0
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization—0
Provable Reinforcement Learning with a Short-Term Memory—0
Improved Regret for Differentially Private Exploration in Linear MDP—0
Meta-Learning Hypothesis Spaces for Sequential Decision-making—0
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point ProcessesCode0
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device PlacementCode0
Generalizing Off-Policy Evaluation From a Causal Perspective For Sequential Decision-Making—0
Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation—0
Automated Reinforcement Learning: An Overview—0
Multi-echelon Supply Chains with Uncertain Seasonal Demands and Lead Times Using Deep Reinforcement Learning—0
Subgoal-Based Explanations for Unreliable Intelligent Decision Support Systems—0
State of the Art of User Simulation approaches for conversational information retrieval—0
Temporal Detection of Anomalies via Actor-Critic Based Controlled Sensing—0
Socially-Optimal Mechanism Design for Incentivized Online Learning—0
Reducing Planning Complexity of General Reinforcement Learning with Non-Markovian Abstractions—0
A Survey on Interpretable Reinforcement Learning—0
Revisiting Game Representations: The Hidden Costs of Efficiency in Sequential Decision-making Algorithms—0
Differentially Private Regret Minimization in Episodic Markov Decision ProcessesCode0
Application of Deep Reinforcement Learning to Payment Fraud—0
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach—0
MDPFuzz: Testing Models Solving Markov Decision Processes—0
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning—0
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