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deep reinforcement learning

3 statements across 2 episodes · 0 bullish · 2 bearish · 2 people on the record · first statement Jan 25, 2016 by Gary Marcus · across every show →

Everything said about deep reinforcement learning, oldest first

Jan 25, 2016 neutral
Assertion Supported
Marcus: DeepMind's deep RL required millions of data points per game
“This is what DeepMind used in their systems, and they used a version called deep reinforcement learning. And what they did is they collected billions or, you know, probably millions of data points for each game.”
Gary Marcus Jan 25, 2016 ▶ 14:02 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Jan 25, 2016 negative
Assertion Not checkable as stated
Marcus: AI has made little progress toward strategic general game players
“There's still been very little progress in building a general game player that can play games that require strategy or insight, complex three-dimensional graphics.”
Gary Marcus Jan 25, 2016 ▶ 3:45 Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
Dec 11, 2018 negative
Insight
Deep reinforcement learning in games does not translate to real-world AI
“But those excitements Turned, turned out to be premature because it's, yeah, game playing is an easier problem compared to real world problems. Those techniques do not translate to real world problems.”
Dileep George Dec 11, 2018 ▶ 18:23 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
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