We have, they kinda suck so far. Look up DeepMind attempts at DDQN game attacks where said AI develops new strategies for an entirely new game. And attempts to

We have, they kinda suck so far. Look up DeepMind attempts at DDQN game attacks where said AI develops new strategies for an entirely new game. And attempts to solve Montezuma's Revenge and other Atari classics, both by DeepMind and OpenAI. Both of the systems are somewhat adaptable to new problems too. There also is Uber's Go-Explore and RMT's. These are closest we came to intelligence. They deal with big unobservable state and novelty with few shot learning, few objectives and sparse reward. They haven't quite cracked automated symbolization. (The AIs do not quite create a complete symbolic representation of the game.) I recommend following AAAI conferences for more details.