Uber’s AI beats troublesome games with new type of reinforcement learning

Video games have become a proving ground for AIs and Uber has shown how its new type of reinforcement learning has succeeded where others have failed. Some of mankind’s most complex games, like Go, have failed to challenge AIs from the likes of DeepMind. Reinforcement learning trains algorithms by running scenarios repeatedly with a ‘reward’ given for successes, often a score increase. Two classic games from the 80s – Montezuma’s Revenge and Pitfall! – have thus far been immune to...