3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2025
REINFORCE-ING Chemical Language Models for Drug Discovery
Morgan Thomas, Albert Bou, Jose Carlos Gómez-Tamayo +3
Chemical language models, combined with reinforcement learning (RL), have shown significant promise to efficiently traverse large chemical spaces for drug discovery. However, the p…
cs.LG2024★ 3 cited
ACEGEN: Reinforcement learning of generative chemical agents for drug discovery
Albert Bou, Morgan Thomas, Sebastian Dittert +10
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. Howeve…