In terms of Hanabi, this bot arrived at conventions that are pretty different from how humans play the game. We invited an advanced Hanabi player to play with the bot and he pointed out a few things in particular that he'd like to start using. For example, humans usually have a rule that if your teammate hints multiple cards of the same color/number, you should play the newest one. The bot uses a more complicated rule: if the card you just picked up was hinted then play that card, otherwise play the oldest hinted card. That gives you way more flexibility to hint playable cards that would otherwise be tough to get played.
I think one important general lesson is that search is really, really important. Deep RL algorithms are making huge advancements, but Deep RL alone can't reach superhuman performance in Go or poker with search. Here, too, we see that search was the key to conquering this game, and I think that will hold true in more complex real-world settings as well. Figuring out how to extend search to more complex real-world settings will be a challenge, but it's one worth pursuing.
I think one important general lesson is that search is really, really important. Deep RL algorithms are making huge advancements, but Deep RL alone can't reach superhuman performance in Go or poker with search. Here, too, we see that search was the key to conquering this game, and I think that will hold true in more complex real-world settings as well. Figuring out how to extend search to more complex real-world settings will be a challenge, but it's one worth pursuing.