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Sequential Decision Making

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TitleStatusHype
LISA: Learning Interpretable Skill Abstractions from LanguageCode0
Reinforcement Learning-based Token Pruning in Vision Transformers: A Markov Game ApproachCode0
Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian FrameworkCode0
Algorithms for Fairness in Sequential Decision MakingCode0
Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge GraphsCode0
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision ProcessesCode0
Adversarial Environment Generation for Learning to Navigate the WebCode0
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networksCode0
Locally Private Nonparametric Contextual Multi-armed BanditsCode0
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning AgentsCode0
Data Generation as Sequential Decision MakingCode0
Long-Term Fair Decision Making through Deep Generative ModelsCode0
Long-Term Fairness in Sequential Multi-Agent Selection with Positive ReinforcementCode0
Scalable Decision-Making in Stochastic Environments through Learned Temporal AbstractionCode0
Toward Policy Explanations for Multi-Agent Reinforcement LearningCode0
Loss Bounds for Approximate Influence-Based AbstractionCode0
Federated Online Clustering of BanditsCode0
Batch Bayesian optimisation via density-ratio estimation with guaranteesCode0
Finding Counterfactually Optimal Action Sequences in Continuous State SpacesCode0
Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon SettingsCode0
SCALES: From Fairness Principles to Constrained Decision-MakingCode0
MABWiser: A Parallelizable Contextual Multi-Armed Bandit Library for PythonCode0
FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial MasksCode0
FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear BanditsCode0
Machine Teaching for Inverse Reinforcement Learning: Algorithms and ApplicationsCode0
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