I'm Alberto Sinigaglia. Heres some infos about me:

• AI enthusias
• very passioned on everything Deep Learning related
• very passioned on everything Reinforcement Learning related
• Currently doing a PhD in Deep Reinforcement Learning (or maybe not) @ UniPD
• I have a Master Degree DataScience @ UniPD
• I have a Bachelor Degree in CompSci @ UniPD
• I really like helping people on StackOverflow

Currently I'm working on a Multi Agent Reinforcement Learning (MARL) AI that should be able to play Briscola in teams, which will also be my master thesis project.

My very not updated personal website: albertosinigaglia.me

I really appreciate spending time coding projects, out of which the following are the ones that I'm proud/I like the most:

• Force based graph: self organizing graph using non convex gradieng descet based optimization, demo online

• Binarized Neural Network: implementation of binarized neural networks using first order logic and MaxSAT solvers

• Snake using RL: Reinforcement learning agent that learns to play snake

• Block coordinate gradient descent methods: implementation of multiple block coodinate gradient descent algorithms for a convex high-dimensional loss function

• Variance reducing gradient descent algorihtms: implementation of SARAH, SNVRG, SpiderBoost, variance reducing algorithms for stochastic gradient descent optimization

• Hangman using RL: Reinforcement learning agent that learns to play hangman

• Attention sampling classification: classification of mega-pixel images using attention sampling, trained using Reinforcment learning

• Discrete GANs: GANs with a discrete generator, trained using Reinforcment Learning or Straight through estimator

• Pix2Pix: Pix2Pix implementation with multiple well-known network architectures

• Canvas animations (old): collections of animations done in pure JS using Canvas

  • webcam to checkboxes
  • webcam to text
  • lissajous
  • raycasting