Model-based reinforcement learning for biological sequence design

The ability to design biological structures such as DNA or proteins would have considerable medical and industrial impact. Doing so presents a challenging black-box optimization problem characterized by the large-batch, low round setting due to the need for labor-intensive wet lab evaluations... (read more)

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METHOD TYPE
Entropy Regularization
Regularization
PPO
Policy Gradient Methods