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Sequential Decision Making

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Showing 401–450 of 1210 papers

TitleStatusHype
Self-evolving Autoencoder Embedded Q-Network—0
Probability Tools for Sequential Random Projection—0
Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary SettingsCode0
Online Sequential Decision-Making with Unknown Delays—0
Auxiliary Reward Generation with Transition Distance Representation Learning—0
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian OptimizationCode0
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming—0
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning AgentsCode0
A Reinforcement Learning Approach for Dynamic Rebalancing in Bike-Sharing System—0
Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVs—0
Vertical Symbolic Regression via Deep Policy GradientCode0
Zero-Shot Reinforcement Learning via Function EncodersCode0
Regularized Q-Learning with Linear Function Approximation—0
Long-Term Fair Decision Making through Deep Generative ModelsCode0
Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning—0
Learning Non-myopic Power Allocation in Constrained ScenariosCode0
LLMs for Relational Reasoning: How Far are We?—0
DeLF: Designing Learning Environments with Foundation ModelsCode0
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback—0
Interactions between dynamic team composition and coordination: An agent-based modeling approach—0
Graph Q-Learning for Combinatorial Optimization—0
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond—0
Decision Making in Non-Stationary Environments with Policy-Augmented SearchCode0
Towards an Adaptable and Generalizable Optimization Engine in Decision and Control: A Meta Reinforcement Learning Approach—0
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision ProcessesCode0
Harnessing the Power of Federated Learning in Federated Contextual BanditsCode0
Solving Long-run Average Reward Robust MDPs via Stochastic GamesCode0
Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score ClimbingCode0
Parameterized Projected Bellman OperatorCode0
Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge GraphsCode0
Robust Active Measuring under Model UncertaintyCode0
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints—0
Risk-Aware Continuous Control with Neural Contextual BanditsCode0
A Customizable Generator for Comic-Style Visual Narrative—0
Learning adaptive planning representations with natural language guidance—0
Online Decision Making with History-Average Dependent Costs (Extended)Code0
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision MakingCode0
A Review of Cooperation in Multi-agent Learning—0
Distributed Optimization via Kernelized Multi-armed Bandits—0
Generalization to New Sequential Decision Making Tasks with In-Context Learning—0
Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games—0
Learning Curricula in Open-Ended Worlds—0
AI in Pharma for Personalized Sequential Decision-Making: Methods, Applications and Opportunities—0
TORE: Token Recycling in Vision Transformers for Efficient Active Visual ExplorationCode0
History Filtering in Imperfect Information Games: Algorithms and Complexity—0
Learning Dynamic Selection and Pricing of Out-of-Home DeliveriesCode0
Code Models are Zero-shot Precondition Reasoners—0
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making—0
An advantage based policy transfer algorithm for reinforcement learning with measures of transferability—0
Likelihood Ratio Confidence Sets for Sequential Decision Making—0
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