Timeline for Is reinforcement learning needed to create Strong AI?
Current License: CC BY-SA 3.0
4 events
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| Aug 12, 2016 at 20:25 | comment | added | X3R0 | Learning is a trial and error application. Unless you provide an acurate dataset for the AI, and the applicable environment for it to apply this information. This would be a closed system and would allow the AI not to in anyway harm itself, a good example is a user tracking AI or a chat bot, neither can be damaged, if provided with enough information that learning would not be needed anymore, it could just understand and implement/act to this new data but not learn from it as it has enough to exist as a closed system | |
| Aug 12, 2016 at 17:41 | comment | added | bpachev | Thanks for your answer. I don't doubt the power of reinforcement learning. Could you elaborate on AI that doesn't use reinforcement learning? | |
| Aug 12, 2016 at 17:00 | history | edited | X3R0 | CC BY-SA 3.0 |
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| Aug 12, 2016 at 16:52 | history | answered | X3R0 | CC BY-SA 3.0 |