Multiagent environments where agents compete for resources are stepping stones on the path to AGI. Multiagent environments have two useful properties: first, there is a natural curriculum—the difficulty of the environment is determined by the skill of your competitors (and if you’re competing against clones of yourself, the environment exactly matches your skill level). Second, a multiagent environment has no stable equilibrium: no matter how smart an agen
Tag: learning to cooperate
Learning to cooperate explained — what it is, how it works and what it costs. Below are 1 article about learning to cooperate on CheapToken News.