[ot][spam][crazy] draft: learning RL

[Undiscussed Horrific Abuse, One Victim of Many]

On Mon, May 9, 2022, 4:41 AM Undiscussed Horrific Abuse, One Victim of Many
<gmkarl at gmail.com> wrote:

>
>
> On Mon, May 9, 2022, 4:40 AM Undiscussed Horrific Abuse, One Victim of
> Many <gmkarl at gmail.com> wrote:
>
>>
>>
>> On Mon, May 9, 2022, 4:38 AM Undiscussed Horrific Abuse, One Victim of
>> Many <gmkarl at gmail.com> wrote:
>>
>>>
>>>
>>> On Mon, May 9, 2022, 4:22 AM Undiscussed Horrific Abuse, One Victim of
>>> Many <gmkarl at gmail.com> wrote:
>>>
>>>> To represent normal goal behavior with maximization, the return
>>>>> function needs to not only be incredibly complex, but also feed back to its
>>>>> own evaluation, in a way not provided for in these libraries.
>>>>>
>>>>
>>>> It should have anything inside the policy that can change as part of
>>>> its environment state.
>>>>
>>>
> There is censorship here: many important parts of the idea are left out,
> focusing only on one projection of error.
>
> The concern is a severe norm of action prior to observation, a habit known
> to cause severe errors, regardless of training and practice.
>

The concern is poorly related to the expression that reached the list.


>
>>>> This is so important that even if it doesn't help it should be done,
>>>> because it's so important to observe before action, in all situations.
>>>>
>>>
>>> There is unexpected conflict around this combined expression of more
>>> useful processes, and safer observation before influence. I believe this is
>>> important (if acontextual), and wrong only in ways that are smaller than
>>> the eventual problems it reduces, but I understand that my perception is
>>> incorrect in some way.
>>>
>>
>> I am hearing/guessing that the problem is that the information is
>> designed for human consumption rather than automated consumption, and the
>> harm is significantly increased when automated consumption happens before
>> human consumption.
>>
>>>
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