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Sequential Decision Making

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Showing 501–550 of 1210 papers

TitleStatusHype
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors—0
Online Learning with Costly Features in Non-stationary EnvironmentsCode0
Non-stationary Delayed Combinatorial Semi-Bandit with Causally Related Rewards—0
POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenanceCode0
Probabilistic Constrained Reinforcement Learning with Formal InterpretabilityCode0
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions—0
FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems—0
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits—0
TGRL: An Algorithm for Teacher Guided Reinforcement Learning—0
Generative Flow Networks: a Markov Chain Perspective—0
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations—0
Thompson sampling for improved exploration in GFlowNets—0
Learning non-Markovian Decision-Making from State-only SequencesCode0
A General Framework for Sequential Decision-Making under Adaptivity Constraints—0
Proportional Aggregation of Preferences for Sequential Decision Making—0
Large Sequence Models for Sequential Decision-Making: A Survey—0
You Can Trade Your Experience in Distributed Multi-Agent Multi-Armed Bandits—0
IF2Net: Innately Forgetting-Free Networks for Continual Learning—0
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning—0
Skill Disentanglement for Imitation Learning from Suboptimal DemonstrationsCode0
Provably Learning Nash Policies in Constrained Markov Potential Games—0
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel—0
Federated Linear Contextual Bandits with User-level Differential Privacy—0
PlayBest: Professional Basketball Player Behavior Synthesis via Planning with DiffusionCode0
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings (Extended Version)Code0
AI-based Identification of Most Critical Cyberattacks in Industrial Systems—0
Finding Counterfactually Optimal Action Sequences in Continuous State SpacesCode0
Learning Embeddings for Sequential Tasks Using Population of AgentsCode0
Data-Driven Online Model Selection With Regret Guarantees—0
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision MakingCode0
Adversarial Attacks on Online Learning to Rank with Click Feedback—0
Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds—0
Self-Supervised Reinforcement Learning that Transfers using Random Features—0
A Mini Review on the utilization of Reinforcement Learning with OPC UA—0
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing—0
Optimizing Memory Mapping Using Deep Reinforcement Learning—0
Replicating Complex Dialogue Policy of Humans via Offline Imitation Learning with Supervised Regularization—0
Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning—0
Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement LearningCode0
Distance Weighted Supervised Learning for Offline Interaction DataCode0
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making—0
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning—0
Model Based Reinforcement Learning for Personalized Heparin Dosing—0
AoI-Delay Tradeoff in Mobile Edge Caching: A Mixed-Order Drift-Plus-Penalty Algorithm—0
Promises and Pitfalls of the Linearized Laplace in Bayesian OptimizationCode0
Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning—0
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resamplingCode0
Automaton-Guided Curriculum Generation for Reinforcement Learning AgentsCode0
Risk-Sensitive and Robust Model-Based Reinforcement Learning and Planning—0
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring—0
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