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Found 4 papers, 0 papers with code
Offline Reinforcement Learning with Imbalanced Datasets
The prevalent use of benchmarks in current offline reinforcement learning (RL) research has led to a neglect of the imbalance of real-world dataset distributions in the development of models.
Target specific peptide design using latent space approximate trajectory collector
Despite the prevalence and many successes of deep learning applications in de novo molecular design, the problem of peptide generation targeting specific proteins remains unsolved.
$\textit{Ab Initio}$ Discovery of Biological Knowledge from scRNA-Seq Data Using Machine Learning
The study illustrated the feasibility, significance, and limitation of $\textit{ab initio}$ ML knowledge discovery on complex biological problems.
GenCos' Behaviors Modeling Based on Q Learning Improved by Dichotomy
Q learning is widely used to simulate the behaviors of generation companies (GenCos) in an electricity market.
