ML-Everything

ML-Everything

Applying machine learning to everything

  1. Reinforcement learning with sparse rewards

  2. Learning from pixels and Deep Q-Networks with Keras

  3. Policy Based Reinforcement Learning with Keras

  4. Evolutionary Learning Models with OpenAI

  5. Tic-Tac-Toe and Connect-4 using Mini-Max