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Sequential Decision Making

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Showing 651–700 of 1210 papers

TitleStatusHype
A Deep Reinforcement Learning Framework For Column GenerationCode0
Adaptive Robust Online Portfolio Selection—0
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs—0
Robust Anytime Learning of Markov Decision ProcessesCode0
Multi-Agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP—0
Causal Explanations for Sequential Decision Making Under Uncertainty—0
Adaptive Sampling for Discovery—0
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence LearningCode0
Multi-Agent Reinforcement Learning is a Sequence Modeling ProblemCode2
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: CorrectionsCode0
Flow-based Recurrent Belief State Learning for POMDPs—0
Survey on Fair Reinforcement Learning: Theory and Practice—0
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling—0
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
Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply ChainsCode1
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 Sandbox Environment for Generalizable Agent Research (SEGAR)Code1
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
Curriculum-based Reinforcement Learning for Distribution System Critical Load RestorationCode1
A Trainable Approach to Zero-delay Smoothing Spline Interpolation—0
Deep Reinforcement Learning for Entity AlignmentCode1
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
Sequential Bayesian experimental designs via reinforcement learning—0
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization—0
MuZero with Self-competition for Rate Control in VP9 Video Compression—0
Provable Reinforcement Learning with a Short-Term Memory—0
Pre-Trained Language Models for Interactive Decision-MakingCode2
Improved Regret for Differentially Private Exploration in Linear MDP—0
Meta-Learning Hypothesis Spaces for Sequential Decision-making—0
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