I will teach reinforcement learning in one on one sessions

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Description

Fundamentals of Reinforcement Learning including:

  1. Introduction to RL
  2. Markov Decision Processes
  3. Value Functions
  4. Dynamic Programming (including Value Iteration and Policy Iteration demo)
  5. Monte-Carlo Methods
  6. Temporal Difference Learning (including Q-learning demo)
  7. Deep Q-Learning (including DQN and DDQN demo)
  8. How to make a custom environment

The sessions would be hourly and the charges are $40/hour (non-negotiable).

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