Designing algorithms for Multi-Agent Reinforcement Learning (MARL) in imperfect-information games — scenarios where players act sequentially and cannot see each other’s private information, like poker ...
Electricity is playing an increasing role as we look to develop low carbon sources of energy. Get ahead in this exciting field and develop your understanding of how electrical networks will be ...
Add a fourth year to this BSc course to gain the skills you need for more technical and research roles.
Biological matter undergoes evolutionary change through Survival of the Fittest. Darwinian evolution (DE) is remarkably different from the dynamics of dead matter: It is self-serving, adaptive to its ...
This work presents a variant of an electrostatic embedding scheme that allows the embedding of arbitrary machine learned potentials trained on molecular systems in vacuo. The scheme is based on ...
Given the remarkable developments in synthetic control over chemical and physical properties of colloidal particles, it is interesting to see how stochastic thermodynamics studies may be performed ...
2022-04-08 Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection Pedro Henrique Luz de Araujo et.al. 2204.04042v1 link 2022-04-08 BioBART: Pretraining ...
In most applications, functional materials operate at finite temperatures and are in contact with a reservoir of atoms or molecules (gas, liquid, or solid). In order to understand the properties of ...
Capacitive deionization (CDI) is an upcoming desalination technology being increasingly considered to be a simple and cost-effective solution for brackish water, where electrosorption leads to the ...
Static Headspace sampling is typically used for the determination of volatile and semi-volatile analytes in liquids and, more rarely, solid matrices. Application examples include the analysis of ...
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