In recent years, reinforcement learning (RL) has emerged as a valuable tool in drug design,
offering the potential to propose and optimize molecules with desired properties. However …

Fine-tuning a pre-trained generative model has demonstrated good performance in
generating promising drug molecules. The fine-tuning task is often formulated as a …

Chemical language models for molecular design have the potential to find solutions to multi-
parameter optimization problems in drug discovery via reinforcement learning (RL). A key …