www.gvgai.net (dead as of 2023)

The project kind of died circa 2020 it seems, a shame. Likely they funding ran out. The domain is dead as of 2023, last archive from 2022: web.archive.org/web/20220331022932/http://gvgai.net/ is marked as funded by DeepMind. Researchers really should use university/GitHub domain names!

Similar goals to Ciro's 2D reinforcement learning games, but they were focusing mostly on discrete games.

They have some source at: github.com/GAIGResearch/GVGAI TODO review

A published book at: gaigresearch.github.io/gvgaibook/

From QMUL Game AI Research Group:From other universities:TODO check:

The key takeaway is that setting an explicit value function to an AGI entity is a good way to destroy the world due to poor AI alignment. We are more likely to not destroy by creating an AI whose goals is to "do want humans what it to do", but in a way that it does not know before hand what it is that humans want, and it has to learn from them. This approach appears to be known as reward modeling.

Some other cool ideas:

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