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Using AI Models for Simulating Landing on the Moon

Workshop/ Training/ Webinar

  • Date

    19 Mar 2025

  • Organiser

    ITS

  • Time

    14:30 - 17:00

  • Venue

    Onsite (TBC) / Online  

Summary

Date: 19 Mar 2025 (Wed)

Time: 14:30 – 17:00

Venue: Onsite (TBC) / Online

Target Audience: All students

Medium of Instruction: English

 

What You Will Learn

  1. Understand the fundamentals of Reinforcement Learning (RL) and its applications.
  2. Understand the fundamentals of Deep Reinforcement Learning (DRL).
  3. Gain hands-on experience in Deep Reinforcement Learning for simulating landing on the moon.

 

Agenda

  1. Introduction to Reinforcement Learning
    - Overview of reinforcement learning and its applications
  2. Introduction to Deep Reinforcement Learning 
    - Overview of deep reinforcement learning
    - Introduction to Deep Q-Learning
  3. Introduction to Gymnasium
    - Overview of the Gymnasium library
  4. Introduction to STABLE BASELINES 3
    - Overview of the STABLE BASELINES 3
  5. Training and Evaluation of Agents
    - Strategies for training and evaluating agents
  6. Hands-On Practice
    - Implement Reinforcement Learning for simulating landing on the moon
     

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