Simplest ai trick gdc2013 dino v2 (1)
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Simplest ai trick gdc2013 dino v2 (1) Simplest ai trick gdc2013 dino v2 (1) Presentation Transcript

  • Simplest AI Trick in the BookNormalised Tunable Sigmoid FunctionDino Dini NHTV University of Applied Sciences
  • Normalized Values Are UsefulFor example: ● Utility calculations ● Input management ● Control systems ● Tunable parameters
  • Analog Input -1 0 1 Abstract away the device dependent positional values (0 to 255? -1024 to 1024?) and normalise. Normalised values are much easier to work with.
  • Example:Analog Input - Left / Right Rotation Input 1024 1 Normalizer Device -1024 -1 Movement 5 Rotation Degrees per Driver -5 Frame
  • Example:Analog Input - Left / Right Rotation Input 1024 1 Normalizer Device -1024 -1 Movement 5 Rotation Degrees per Driver -5 Frame
  • Linear relationship Degrees rotation per frame Control input (left - right)
  • Linear relationship Degrees rotation per frame I want greater sensitivity Control input (left - right)
  • Linear relationship Degrees rotation per frame Control input (left - right)
  • Linear relationship Degrees rotation per frame I also want full range Control input (left - right)
  • Linear relationship Degrees rotation per frame Full Range Greater sensitivity Control input (left - right)
  • Example:Analog Input - Left / Right Rotation Input 1024 1 Normalizer Device -1024 -1 Sigmoid 1 5 Rotation Movement like Degrees per -1 Driver -5 function Frame
  • Example:Analog Input - Left / Right Rotation Input 1024 1 Normalizer Device -1024 -1 Sigmoid 1 5 Rotation Movement like Degrees per -1 Driver -5 function Frame k
  • Sigmoid function?
  • Logit function?
  • Normalised Tunable (half) SigmoidFunction?
  • Normalised Tunable (half) SigmoidFunction? k = 0.2
  • Normalised Tunable (half) SigmoidFunction? k = 0.01
  • Normalised Tunable (half) SigmoidFunction? k=2
  • Normalised Tunable (half) SigmoidFunction? k = -1.2
  • Normalised Tunable (half) SigmoidFunction? k = -1.01
  • Normalised Tunable (half) SigmoidFunction? k = -3
  • Normalised Tunable Sigmoid Function k = 0.2
  • Normalised Tunable Sigmoid Function Thank you