On Sat, May 11, 2019 at 12:10 PM Stefan Reich via AGI <[email protected]<mailto:[email protected]>> wrote: I think you are stuck in the "conventional theory". The time is right for new theories. I'm still on the path to show that there are better ways to actual AI than neural networks.
Agreed ________________________________ From: Stefan Reich via AGI <[email protected]> Sent: Saturday, 01 June 2019 18:42 To: AGI Subject: Re: [agi] My AGI 2019 paper draft Thanks for believing that I can do this. On Sat, May 11, 2019, 18:27 Matt Mahoney <[email protected]<mailto:[email protected]>> wrote: "Conventional" AI was coding all the knowledge in Lisp. Then came rule based systems and the AI winter. Neural networks have produced the best results in language, vision, and robotics, now that we have enough computing power to implement them. Now we have real progress in AI. It will be interesting if you come up with something better. On Sat, May 11, 2019 at 12:10 PM Stefan Reich via AGI <[email protected]<mailto:[email protected]>> wrote: I think you are stuck in the "conventional theory". The time is right for new theories. I'm still on the path to show that there are better ways to actual AI than neural networks. On Sat, May 11, 2019, 08:46 YKY (Yan King Yin, 甄景贤) <[email protected]<mailto:[email protected]>> wrote: Also, the control theoretic stuff was removed because I am unable to define the reward based on the current state in a differentiable way. For example, in the game of chess, the reward comes only when checkmate occurs (according to the game's official rules), but not when you capture a piece of high value (eg xQueen). This problem is known as "sparse reward" vs "dense reward" in reinforcement learning: [Screenshot from 2019-05-07 20-49-22.png] The actual reward is a delta-function occurring at the end of the game. "Classical" control theory is applicable only when the reward is something like the dotted line. -- -- Matt Mahoney, [email protected]<mailto:[email protected]> Artificial General Intelligence List<https://agi.topicbox.com/latest> / AGI / see discussions<https://agi.topicbox.com/groups/agi> + participants<https://agi.topicbox.com/groups/agi/members> + delivery options<https://agi.topicbox.com/groups/agi/subscription> Permalink<https://agi.topicbox.com/groups/agi/T3cad55ae5144b323-M2018f8e48159c8e72dbb1c31> ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T3cad55ae5144b323-Mf619664bcac5a025737a9e47 Delivery options: https://agi.topicbox.com/groups/agi/subscription
