Gaming ML/AI-based on Reinforcement Learning

 By Medium - 2020-12-14

Description

Today you turn on your TV, you listen to the radio, you read a newspaper and, unbelievable… you most probably come across about machine learning and artificial intelligence. The Machine Learning…

Summary

  • ML and AI are, at first sight, very powerful but sometimes complex to setup.
  • Rewards as input for the agent for reinforcement learning — Image by Giovanni Mariotta Our agent receives a large negative reward if goes outside the game-board (-1), positive if the agent touches the target (+1).
  • It analyses the exploration done by the agent, and generates a model, reflecting the state of the art of the learned behavior/policy.. Communicator & PythonAPI are the links between the two systems.
  • Think about the coming car with an AI driver or about the space industry which applies this to satellite stabilization problems.

 

Topics

  1. Machine_Learning (0.5)
  2. Backend (0.2)
  3. NLP (0.14)

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