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View article: A scalable reinforcement learning approach for screening large peptide libraries for bioactive peptide discovery
A scalable reinforcement learning approach for screening large peptide libraries for bioactive peptide discovery Open
Bioactive peptides such as anticancer peptides (ACPs) offer a promising therapeutic alternative to small molecules due to their efficiency and selectivity against tumors and minimal toxicity towards healthy human cells. However, their rati…
View article: Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Open
Realtime environments change even as agents perform action inference and learning, thus requiring high interaction frequencies to effectively minimize regret. However, recent advances in machine learning involve larger neural networks with…
View article: Continual Learning In Environments With Polynomial Mixing Times
Continual Learning In Environments With Polynomial Mixing Times Open
The mixing time of the Markov chain induced by a policy limits performance in real-world continual learning scenarios. Yet, the effect of mixing times on learning in continual reinforcement learning (RL) remains underexplored. In this pape…