Events

    Event
    Reinforcement Learning Workshop
    What's in it for you
    • Overview of Reinforcement Learning
    • Theory: Markov Decision Processes
    • Theory: Generalized Policy Iteration
    • Demo: Use Q – Learning to learn the optimal policy in a simple Gym Environment (Taxi-v3)
    • Brief Overview & Discussion: Using Deep Q-Learning to learn the optimal policy in the Atari Breakout
    Prerequisites
    We strongly recommend that you prepare for the workshop in order to get the most out of it. Nothing is required to sign up, however the following would be very helpful:
    • Knowledge of Python
    • A computer or laptop - Two would be helpful for streaming and coding simultaneously but absolutely not required since the purpose is not to copy code, but to learn to solve problems!
    • A google account for access to Google Collab
    Roadmap
    • Starting Monday, July 27, 2020: Sign up using the form
    • 48 hours before the event: First batch of sign ups receive workshop material and details
    • 24 hours before the event: Second batch of sign ups receive workshop material and details
    • 2 hours before the event: Sign ups close
    • 1 hour before the event: Final batch of sign ups receive workshop material and details
    When
    Sat Aug 01 2020
    Location
    Virtual / Online

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