ACEGEN: Reinforcement learning of generative chemical agents for drug discovery.
Albert BouMorgan ThomasSebastian DittertCarles Navarro RamírezMaciej MajewskiYe WangShivam PatelGary TresadernMazen AhmadVincent MoensWoody ShermanSimone SciabolaGianni De FabritiisPublished in: CoRR (2024)
Keyphrases
- drug discovery
- reinforcement learning
- multi agent
- chemical compounds
- multi agent systems
- virtual screening
- pharmaceutical industry
- early stage
- cooperative
- biological systems
- systems biology
- scientific data
- learning algorithm
- discovery process
- state space
- machine learning
- sensor networks
- knowledge discovery
- databases
- data mining tools
- high throughput
- database
- probabilistic model
- data sets