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I would consider giving a penalty for each arrow shot, thus requirng the AI to take more precuse shots and not spam arrows.😊
that's what i'm doing , at 0:58 i say that when alexander misses he suffers a negative reward.
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bro used AI generated voice, for a video about AI... as the time flies, i see even more videos like this.
It's all interesting and funny until you cross paths with a robot and his AK47, perfectly trained to hunt you 😅
I uave tried to these kind of stuff but failed miserably 😂
i'll try to upload the project soon
i hope u do this learning at real world subject
easy to do, you just need time and effort to spare.
Hold up you're not ai warehouse what on earth
the next best thing ;)
position = Chicken.get_position()AI.aim_at(position)
i'm using Deep reinforcement Learning (DRL), the agent learns a policy that takes an input (observation of the surrounding environment) and generate actions.
Sick
thanks !
Jones Laura Clark Barbara Jones Mark
I would consider giving a penalty for each arrow shot, thus requirng the AI to take more precuse shots and not spam arrows.😊
that's what i'm doing , at 0:58 i say that when alexander misses he suffers a negative reward.
Hello , did you enjoy this ?
Consider subscribing !
bro used AI generated voice, for a video about AI... as the time flies, i see even more videos like this.
It's all interesting and funny until you cross paths with a robot and his AK47, perfectly trained to hunt you 😅
I uave tried to these kind of stuff but failed miserably 😂
i'll try to upload the project soon
i hope u do this learning at real world subject
easy to do, you just need time and effort to spare.
Hold up you're not ai warehouse what on earth
the next best thing ;)
position = Chicken.get_position()
AI.aim_at(position)
i'm using Deep reinforcement Learning (DRL), the agent learns a policy that takes an input (observation of the surrounding environment) and generate actions.
Sick
thanks !
Jones Laura Clark Barbara Jones Mark