Re:Show HN: Quake 1 movement physics reinforcement learning ...
by bnegreve on Sunday May 03, 2020 @01:15AM
(#23057009)
How difficult would it be to encode the optimal running technique as a rule instead of learning it with RL?
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Re:Show HN: Quake 1 movement physics reinforcement learning ...
by fdalvi on Sunday May 03, 2020 @04:21AM
(#23057684)
It wouldn't be difficult at all if the optimal running technique was known before hand; I think the goal of many of these RL exercises is to either i) find a better solution than what we may have imagined or ii) confirm that our knowledge was indeed the best possible solution!
Re:Show HN: Quake 1 movement physics reinforcement learning ...
by bnegreve on Sunday May 03, 2020 @05:31AM
(#23057929)
> It wouldn't be difficult at all if the optimal running technique was known before hand;
You're right, but this is a simulated environment. It means the physics in it are driven by a small set of known (and most likely deterministic) rules.
So I wonder if it would it be possible to analytically determine what is the best possible running strategy.
Re:Show HN: Quake 1 movement physics reinforcement learning ...
by kipi on Sunday May 03, 2020 @04:31AM
(#23057716)
Correct, it wouldn't be hard to take the best known strategy and implement it perfectly. Aside from the two points you mention, it also serves as a precursor to applying RL to real levels in which we may not be so sure about the optimal strategy.