It's clear that there's still a long way to go. Too much manual feature engineering and handtuning is needed right now due to the extremely weak reward signalling of current reinforcement learning algorithms, crippling OpenAI in the later stages.

The cool thing is that bruteforcing computational power seems to get us decently close. I'm optimistic that with renewed interest in the reinforcement learning field, breakthroughs will be made on the algorithmic side within a matter of time.