My implementations of AI, ML and Bayesian/Gaussian algorithms to solve high-dimension search, classification, regression and optimization problems.
  • Gaussian Process Regression
  • Kalman Filter and EKF based Simulated Helicopter Control
  • Particle Filter-Based Robot Localization
  • Randomized Optimization
  • Reinforcement Learning and MDP's
  • Classification, Regression and Dimensionality Reduction
  • Pacman AI Projects