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Found 5 papers, 1 papers with code
Distributed Least Squares in Small Space via Sketching and Bias Reduction
Matrix sketching is a powerful tool for reducing the size of large data matrices.
A Natural Extension To Online Algorithms For Hybrid RL With Limited Coverage
Hybrid Reinforcement Learning (RL), leveraging both online and offline data, has garnered recent interest, yet research on its provable benefits remains sparse.
Offline Policy Evaluation and Optimization under Confounding
Evaluating and optimizing policies in the presence of unobserved confounders is a problem of growing interest in offline reinforcement learning.
Learning Mixtures of Markov Chains and MDPs
We present an algorithm for learning mixtures of Markov chains and Markov decision processes (MDPs) from short unlabeled trajectories.
Objective Micro-Facial Movement Detection Using FACS-Based Regions and Baseline Evaluation
This paper proposes an individualised baseline micro-movement detection method using 3D Histogram of Oriented Gradients (3D HOG) temporal difference method.
