The Art of Choosing Blindly : Multi-Armed Bandits

Aniq Ur Rahman (~Aniq55)


Description:

  • Brief description of Multi-armed Bandits (MAB)
    • Areas of applying the MAB framework
    • Connection to Reinforcement Learning and various algorithms
    • A full-fledged Python Library for implementing the MAB framework in versatile problems
    • Sample Python scripts for implementing some algorithms like Thompson Sampling, UCB etc.

Prerequisites:

  • Python OOP
  • Love for Python

Content URLs:

  • Poster [ draft ]

  • A work based on Multi-Armed Bandit was presented at WMLC - WiOpt '19 Avignon, France. [ Available here ]

  • Github repository will be made public post-event.

Speaker Info:

Linked In Profile

Speaker Links:

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Section: Data Science, Machine Learning and AI
Type: Poster
Target Audience: Intermediate
Last Updated: