Search Results for author:
Found 2 papers, 1 papers with code
Single-partition adaptive Q-learning
This paper introduces single-partition adaptive Q-learning (SPAQL), an algorithm for model-free episodic reinforcement learning (RL), which adaptively partitions the state-action space of a Markov decision process (MDP), while simultaneously learning a time-invariant policy (i. e., the mapping from states to actions does not depend explicitly on the episode time step) for maximizing the cumulative reward.
Restoring STM images via Sparse Coding: noise and artifact removal
In this article, we present a denoising algorithm to improve the interpretation and quality of scanning tunneling microscopy (STM) images.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
