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Ioannis Alexandros Assael

2 accepted papers

2017

Cortical microcircuits as gated-recurrent neural networks

NeurIPS 2017poster

Cortical circuits exhibit intricate recurrent architectures that are remarkably similar across different brain areas. Such stereotyped structure suggests the existence of common computational principles. However, such principles have remained largely elusive. Inspired by gated-memory networks, namel…

Cited by 79SourcePDFScholar
2016

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

NeurIPS 2016poster

We consider the problem of multiple agents sensing and acting in environments with the goal of maximising their shared utility. In these environments, agents must learn communication protocols in order to share information that is needed to solve the tasks. By embracing deep neural networks, we are…