Reinforcement learning for generative ai: State of the art, opportunities and open research challenges
Abstract Generative Artificial Intelligence (AI) is one of the most exciting developments in
Computer Science of the last decade. At the same time, Reinforcement Learning (RL) has …
Computer Science of the last decade. At the same time, Reinforcement Learning (RL) has …
Curiosity in exploring chemical spaces: intrinsic rewards for molecular reinforcement learning
Computer aided design of molecules has the potential to disrupt the field of drug and
material discovery. Machine learning and deep learning in particular, made big strides in …
material discovery. Machine learning and deep learning in particular, made big strides in …
Benchmarking study of deep generative models for inverse polymer design
Molecular generative models based on deep learning have increasingly gained attention for
their ability in de novo polymer design. However, there remains a knowledge gap in the …
their ability in de novo polymer design. However, there remains a knowledge gap in the …