mRNA Sequence Optimization via Neural Surrogate Modeling of Translation Initiation
In this Bachelor's thesis, a neural surrogate model was developed to predict the Minimum Free Energy (MFE) of mRNA ...
In this Bachelor's thesis, a neural surrogate model was developed to predict the Minimum Free Energy (MFE) of mRNA ...
In this Bachelor's thesis, a neural surrogate model was developed to predict the Minimum Free Energy (MFE) of mRNA ...
Learning the behavior of large agent populations is an important task for numerous research areas. Although the field of ...
Multi-agent reinforcement learning (MARL) remains difficult to scale to many agents. Recent MARL using Mean Field ...
In recent years, reinforcement learning and its multi-agent analogue have achieved great success in solving various ...
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
Recent developments in the field of complex systems have shown that real-world multiagent systems are often not ...
Organ-like three-dimensional cell aggregates developed in the laboratory represent versatile cellular models for drug ...