DeepMind Leverages Nash Equilibrium To Tackle Fundamental ML Problems

The most common method to teach AI systems to perform tasks is training on examples. The process is continued until the system is thoroughly trained and mistakes are minimised. However, it is a solitary endeavour. Humans learn from interactions. Scientists have found the same applies to machines as well. AI Research Lab DeepMind has previously trained AI agents to Capture the Flag and achieve the Grandmaster level at Starcraft. Taking inspiration from these experiments, DeepMind has introduced an approach modeled on game theory to help solve fundamental machine learning problems. The principal component analysis (PCA) is a dimensionality reduction technique to make large data sets smaller without losing most of the original information. For this research, the DeepMind team reformulat