Emergence bias is defined as the molecular tendency of sequences to be predisposed toward or against gaining new functions upon mutation, synthesized from prior studies on promoters, enhancers, and de novo proteins.
Mutation bias and the predictability of evolution
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A monograph develops the probabilistic and control-theoretic framework connecting multi-agent reinforcement learning to mean field control, including analyses of Q-learning, policy gradients, and numerical methods for linear-quadratic and general models.
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Emergence biases in molecular evolution
Emergence bias is defined as the molecular tendency of sequences to be predisposed toward or against gaining new functions upon mutation, synthesized from prior studies on promoters, enhancers, and de novo proteins.
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Mean Field Reinforcement Learning
A monograph develops the probabilistic and control-theoretic framework connecting multi-agent reinforcement learning to mean field control, including analyses of Q-learning, policy gradients, and numerical methods for linear-quadratic and general models.