Through training in a simulated hide-and-seek environment, agents build a series of six distinct strategies and counterstrategies, some of which we did not know our environment supported.
The self-supervised emergent complexity in this simple environment further suggests that multi-agent co-adaptation may one day produce extremely complex and intelligent behavior.
Machine learning requires data, so how can we create effective models for data that do not yet exist? Thanks to the rich internal structure of recent GANs, we have found it feasible to create such models by rewriting the rules within existing networks.
DeepSource helps companies transform with the power of #AI. Every enterprise holds unique domain knowledge, business goals, and historical data. Therefore every industry will need to leverage #artificialintelligence in a distinct approach. DeepSource partners with you to build a powerful AI team that fulfills your business objectives.
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