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Sequential Decision Making

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Showing 451–500 of 1210 papers

TitleStatusHype
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
Proportional Aggregation of Preferences for Sequential Decision Making—0
A General Framework for Sequential Decision-Making under Adaptivity Constraints—0
Large Sequence Models for Sequential Decision-Making: A Survey—0
Sampling from Gaussian Process Posteriors using Stochastic Gradient DescentCode1
You Can Trade Your Experience in Distributed Multi-Agent Multi-Armed Bandits—0
IF2Net: Innately Forgetting-Free Networks for Continual Learning—0
Simplified Temporal Consistency Reinforcement LearningCode1
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning—0
Provably Learning Nash Policies in Constrained Markov Potential Games—0
Skill Disentanglement for Imitation Learning from Suboptimal DemonstrationsCode0
Decision Stacks: Flexible Reinforcement Learning via Modular Generative ModelsCode1
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
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
PlayBest: Professional Basketball Player Behavior Synthesis via Planning with DiffusionCode0
Finding Counterfactually Optimal Action Sequences in Continuous State SpacesCode0
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning ApproachCode1
Learning Embeddings for Sequential Tasks Using Population of AgentsCode0
Data-Driven Online Model Selection With Regret Guarantees—0
Extracting Reward Functions from Diffusion ModelsCode1
STEVE-1: A Generative Model for Text-to-Behavior in MinecraftCode2
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision MakingCode0
AdaPlanner: Adaptive Planning from Feedback with Language ModelsCode1
Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds—0
Adversarial Attacks on Online Learning to Rank with Click Feedback—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
Masked Trajectory Models for Prediction, Representation, and ControlCode1
Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement LearningCode0
X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs TransformationCode1
Distance Weighted Supervised Learning for Offline Interaction DataCode0
TempoRL: laser pulse temporal shape optimization with Deep Reinforcement LearningCode1
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
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring—0
Risk-Sensitive and Robust Model-Based Reinforcement Learning and Planning—0
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