Both can be & are true. Really telling to me is that DRL on its own worked for Atari games but not Go— and that DM’s spin on Go really downplayed the hybrid aspect that was essential to its success. (It was also apparently necessary to build in the rules for Go, unlike Atari.)
-
-
Replying to @GaryMarcus @sir_deenicus
So we build hybrid systems but are also too reliant on DRL? How can both of those be true?
1 reply 0 retweets 0 likes -
Replying to @Zergylord @sir_deenicus
It’s question of emphasis, in part, but if I were running your ship I would spend more time exploring principled ways of building hybrids, and more kinds of of hybrids, and more time on on open-ended problems.
1 reply 0 retweets 0 likes -
Replying to @GaryMarcus @sir_deenicus
Other than Neural Turing Machines, AlphaGo, GraphNets, GQN, SPIRAL, etc? I'm sure you'd run things differently, but this is a far cry from the DRL centric narrative of the Wired article.
1 reply 0 retweets 1 like -
Replying to @Zergylord @sir_deenicus
Oh, so now AlphaGo is a hybrid? :) but yes I like a lot of that work and have advocated for some of it over time. I totally agree that DRL is not the only emphasis at DM; it’s just the largest (from what I can tell) and my least favorite and most visible, wrapped in one.
1 reply 0 retweets 1 like -
Replying to @GaryMarcus @sir_deenicus
It's what you'd consider a hybrid. To RL folks the jump from DQN to MCTS doesn't change fields, so "hybrid" sounds weird.
1 reply 0 retweets 0 likes -
Replying to @Zergylord @sir_deenicus
Its not weird, it’s what (in conjunction) with RL makes it work. You have drunk the KoolAid if you ignore this.
2 replies 0 retweets 1 like -
Replying to @GaryMarcus @sir_deenicus
MCTS is literally in RL 101 textbooks. The tree structure of MDPs is inherent in their temporal structure and core to RL. I'm sure it reminds you of Chomsky, parse trees, grammars, and that's fine, but not invoking them isn't "drinking the KoolAid", it's understanding the field.
1 reply 0 retweets 1 like -
Replying to @Zergylord @sir_deenicus
Assimiling DQN and MCS + DRL as if they are same, without talking about why different design choices were made is misleading.
2 replies 0 retweets 0 likes -
Replying to @GaryMarcus @sir_deenicus
That's never happened. They are different algorithms in the same field (Seriously, look at RL textbooks). As my previous quote showed, they were quite up front with the different design choices.
1 reply 0 retweets 0 likes
And yet @sir_deenicus and I had to remind that you Alpha* even was a hybrid model...
-
-
Replying to @GaryMarcus @sir_deenicus
Please reread the thread. I was explaining that *you* thought of them that way, and that was odd given *your* argument re DRL. Come on Gary, I'm trying to tweet in good faith, try to look for the intended interpretation.
1 reply 0 retweets 1 like -
Replying to @Zergylord @sir_deenicus
this part of the thread started with you saying that Watson is a “ quite a bit closer to the Gary's cognitive hybrid systems approach than anything out of DeepMind”, which i felt minimized the extent to which DM actually relies on hybrids.
1 reply 0 retweets 0 likes - 5 more replies
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.